Patricia Melin

According to our database1, Patricia Melin authored at least 507 papers between 1995 and 2020.

Collaborative distances:

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
Other 

Links

Homepages:

On csauthors.net:

Bibliography

2020
Hybrid Neural-Fuzzy Modeling and Classification System for Blood Pressure Level Affectation.
Proceedings of the Hybrid Intelligent Systems in Control, Pattern Recognition and Medicine, 2020

Classification of X-Ray Images for Pneumonia Detection Using Texture Features and Neural Networks.
Proceedings of the Intuitionistic and Type-2 Fuzzy Logic Enhancements in Neural and Optimization Algorithms: Theory and Applications, 2020

A Comparison of ACO, GA and SA for Solving the TSP Problem.
Proceedings of the Hybrid Intelligent Systems in Control, Pattern Recognition and Medicine, 2020

A Modular Neural Network Approach for Cardiac Arrhythmia Classification.
Proceedings of the Intuitionistic and Type-2 Fuzzy Logic Enhancements in Neural and Optimization Algorithms: Theory and Applications, 2020

Hybrid Model Based on Neural Networks and Fuzzy Logic for 2-Lead Cardiac Arrhythmia Classification.
Proceedings of the Hybrid Intelligent Systems in Control, Pattern Recognition and Medicine, 2020

Filter Size Optimization on a Convolutional Neural Network Using FGSA.
Proceedings of the Intuitionistic and Type-2 Fuzzy Logic Enhancements in Neural and Optimization Algorithms: Theory and Applications, 2020

Optimal Recognition Model Based on Convolutional Neural Networks and Fuzzy Gravitational Search Algorithm Method.
Proceedings of the Hybrid Intelligent Systems in Control, Pattern Recognition and Medicine, 2020

Study of the Relevance of Polynomial Order in Takagi-Sugeno Fuzzy Inference Systems Applied in Diagnosis Problems.
Proceedings of the Hybrid Intelligent Systems in Control, Pattern Recognition and Medicine, 2020

Particle Swarm Optimization of Modular Neural Networks for Obtaining the Trend of Blood Pressure.
Proceedings of the Intuitionistic and Type-2 Fuzzy Logic Enhancements in Neural and Optimization Algorithms: Theory and Applications, 2020

Comparative Study of Bio-inspired Algorithms Applied in the Optimization of Fuzzy Systems.
Proceedings of the Hybrid Intelligent Systems in Control, Pattern Recognition and Medicine, 2020

Intuitionistic Fuzzy Sugeno Integral for Face Recognition.
Proceedings of the Intuitionistic and Type-2 Fuzzy Logic Enhancements in Neural and Optimization Algorithms: Theory and Applications, 2020

Analysis of P, PI, Fuzzy and Fuzzy PI Controllers for Control Position in Omnidirectional Robots.
Proceedings of the Intuitionistic and Type-2 Fuzzy Logic Enhancements in Neural and Optimization Algorithms: Theory and Applications, 2020

Optimization for Type-1 and Interval Type-2 Fuzzy Systems for the Classification of Blood Pressure Load Using Genetic Algorithms.
Proceedings of the Intuitionistic and Type-2 Fuzzy Logic Enhancements in Neural and Optimization Algorithms: Theory and Applications, 2020

Design of Interval Type-2 Fuzzy Systems for Classification of Blood Pressure Load.
Proceedings of the Hybrid Intelligent Systems in Control, Pattern Recognition and Medicine, 2020

Particle Swarm Algorithm for the Optimization of Modular Neural Networks in Pattern Recognition.
Proceedings of the Hybrid Intelligent Systems in Control, Pattern Recognition and Medicine, 2020

Towards Tracking Trajectory of Planar Quadrotor Models.
Proceedings of the Intuitionistic and Type-2 Fuzzy Logic Enhancements in Neural and Optimization Algorithms: Theory and Applications, 2020

Fireworks Algorithm (FWA) with Adaptation of Parameters Using Interval Type-2 Fuzzy Logic System.
Proceedings of the Intuitionistic and Type-2 Fuzzy Logic Enhancements in Neural and Optimization Algorithms: Theory and Applications, 2020

Optimal Number of Clusters Finding Using the Fireworks Algorithm.
Proceedings of the Hybrid Intelligent Systems in Control, Pattern Recognition and Medicine, 2020

Toward a development of general type-2 fuzzy classifiers applied in diagnosis problems through embedded type-1 fuzzy classifiers.
Soft Comput., 2020

Comparison of particle swarm optimization variants with fuzzy dynamic parameter adaptation for modular granular neural networks for human recognition.
J. Intell. Fuzzy Syst., 2020

Comparative study of interval Type-2 and general Type-2 fuzzy systems in medical diagnosis.
Inf. Sci., 2020

Design of an interval Type-2 fuzzy model with justifiable uncertainty.
Inf. Sci., 2020

Emerging Issues and Applications of Type-2 Fuzzy Sets and Systems.
Eng. Appl. Artif. Intell., 2020

2019
General Type-2 Radial Basis Function Neural Network: A Data-Driven Fuzzy Model.
IEEE Trans. Fuzzy Syst., 2019

An approach for parameterized shadowed type-2 fuzzy membership functions applied in control applications.
Soft Comput., 2019

Design and FPGA Implementation of Real-Time Edge Detectors Based on Interval Type-2 Fuzzy Systems.
J. Multiple Valued Log. Soft Comput., 2019

Edge Detection Approach Based on Type-2 Fuzzy Images.
J. Multiple Valued Log. Soft Comput., 2019

General Type-2 Fuzzy Sugeno Integral for Edge Detection.
J. Imaging, 2019

Interval type-2 fuzzy logic for dynamic parameter adaptation in a modified gravitational search algorithm.
Inf. Sci., 2019

A New Approach to Multiple Time Series Prediction Using MIMO Fuzzy Aggregation Models with Modular Neural Networks.
Int. J. Fuzzy Syst., 2019

Hybrid model based on neural networks, type-1 and type-2 fuzzy systems for 2-lead cardiac arrhythmia classification.
Expert Syst. Appl., 2019

A hybrid design of shadowed type-2 fuzzy inference systems applied in diagnosis problems.
Eng. Appl. Artif. Intell., 2019

A high-speed interval type 2 fuzzy system approach for dynamic parameter adaptation in metaheuristics.
Eng. Appl. Artif. Intell., 2019

Optimal Genetic Design of Type-1 and Interval Type-2 Fuzzy Systems for Blood Pressure Level Classification.
Axioms, 2019

PSO with Dynamic Adaptation of Parameters for Optimization in Neural Networks with Interval Type-2 Fuzzy Numbers Weights.
Axioms, 2019

Shadowed Type-2 Fuzzy Systems for Dynamic Parameter Adaptation in Harmony Search and Differential Evolution Algorithms.
Algorithms, 2019

Optimization of Modular Neural Networks for Pattern Recognition with Parallel Genetic Algorithms.
Proceedings of the Advances in Soft Computing, 2019

Comparative Study of P, PI, Fuzzy and Fuzzy PI Controllers in Position Control for Omnidirectional Robots.
Proceedings of the Advances in Soft Computing, 2019

Comparative Analysis of Type-1 Fuzzy Inference Systems with Different Sugeno Polynomial Orders Applied to Diagnosis Problems.
Proceedings of the Fuzzy Techniques: Theory and Applications, 2019

Relevance of Polynomial Order in Takagi-Sugeno Fuzzy Inference Systems Applied in Diagnosis Problems.
Proceedings of the 2019 IEEE International Conference on Fuzzy Systems, 2019

An Approach for Optimization of Intuitionistic and Type-2 Fuzzy Systems in Pattern Recognition Applications.
Proceedings of the 2019 IEEE International Conference on Fuzzy Systems, 2019

2018
A New Model Based on a Fuzzy System for Arterial Hypertension Classification.
Proceedings of the Fuzzy Logic Augmentation of Neural and Optimization Algorithms: Theoretical Aspects and Real Applications, 2018

Impact Study of the Footprint of Uncertainty in Control Applications Based on Interval Type-2 Fuzzy Logic Controllers.
Proceedings of the Fuzzy Logic Augmentation of Neural and Optimization Algorithms: Theoretical Aspects and Real Applications, 2018

Fuzzy Optimized Classifier for the Diagnosis of Blood Pressure Using Genetic Algorithm.
Proceedings of the Fuzzy Logic Augmentation of Neural and Optimization Algorithms: Theoretical Aspects and Real Applications, 2018

Ensemble Neural Network Optimization Using a Gravitational Search Algorithm with Interval Type-1 and Type-2 Fuzzy Parameter Adaptation in Pattern Recognition Applications.
Proceedings of the Fuzzy Logic Augmentation of Neural and Optimization Algorithms: Theoretical Aspects and Real Applications, 2018

Person Recognition with Modular Deep Neural Network Using the Iris Biometric Measure.
Proceedings of the Fuzzy Logic Augmentation of Neural and Optimization Algorithms: Theoretical Aspects and Real Applications, 2018

Comparative analysis of noise robustness of type 2 fuzzy logic controllers.
Kybernetika, 2018

Multi-objective optimization for modular granular neural networks applied to pattern recognition.
Inf. Sci., 2018

A New Approach for Time Series Prediction Using Ensembles of IT2FNN Models with Optimization of Fuzzy Integrators.
Int. J. Fuzzy Syst., 2018

A hybrid model based on modular neural networks and fuzzy systems for classification of blood pressure and hypertension risk diagnosis.
Expert Syst. Appl., 2018

High order α-planes integration: A new approach to computational cost reduction of General Type-2 Fuzzy Systems.
Eng. Appl. Artif. Intell., 2018

A Hybrid Approach for Modular Neural Network Design Using Intercriteria Analysis and Intuitionistic Fuzzy Logic.
Complexity, 2018

Optimal Design of Interval Type-2 Fuzzy Heart Rate Level Classification Systems Using the Bird Swarm Algorithm.
Algorithms, 2018

Parameter Optimization for Membership Functions of Type-2 Fuzzy Controllers for Autonomous Mobile Robots Using the Firefly Algorithm.
Proceedings of the Fuzzy Information Processing, 2018

A Fuzzy Harmony Search Algorithm for the Optimization of a Benchmark Set of Functions.
Proceedings of the Advances in Soft Computing, 2018

A new variant of Fuzzy K-Nearest Neighbor using Interval Type-2 Fuzzy Logic.
Proceedings of the 2018 IEEE International Conference on Fuzzy Systems, 2018

A variant to the dynamic adaptation of parameters in galactic swarm optimization using a fuzzy logic augmentation.
Proceedings of the 2018 IEEE International Conference on Fuzzy Systems, 2018

Optimization of Ensemble Neural Networks with Type-1 and Interval Type-2 Fuzzy Integration for Forecasting the Taiwan Stock Exchange.
Proceedings of the Advances in Data Analysis with Computational Intelligence Methods, 2018

Ensembles of Type 2 Fuzzy Neural Models and Their Optimization with Bio-Inspired Algorithms for Time Series Prediction.
SpringerBriefs in Applied Sciences and Technology, Springer, ISBN: 978-3-319-71264-2, 2018

2017
Flower Pollination Algorithm with Fuzzy Approach for Solving Optimization Problems.
Proceedings of the Nature-Inspired Design of Hybrid Intelligent Systems, 2017

A New Hybrid PSO Method Applied to Benchmark Functions.
Proceedings of the Nature-Inspired Design of Hybrid Intelligent Systems, 2017

Particle Swarm Optimization of the Fuzzy Integrators for Time Series Prediction Using Ensemble of IT2FNN Architectures.
Proceedings of the Nature-Inspired Design of Hybrid Intelligent Systems, 2017

Comparison of Optimization Techniques for Modular Neural Networks Applied to Human Recognition.
Proceedings of the Nature-Inspired Design of Hybrid Intelligent Systems, 2017

A New Method Based on Modular Neural Network for Arterial Hypertension Diagnosis.
Proceedings of the Nature-Inspired Design of Hybrid Intelligent Systems, 2017

Particle Swarm Optimization of Ensemble Neural Networks with Type-1 and Type-2 Fuzzy Integration for the Taiwan Stock Exchange.
Proceedings of the Nature-Inspired Design of Hybrid Intelligent Systems, 2017

A Hybrid Intelligent System Model for Hypertension Diagnosis.
Proceedings of the Nature-Inspired Design of Hybrid Intelligent Systems, 2017

A Competitive Modular Neural Network for Long-Term Time Series Forecasting.
Proceedings of the Nature-Inspired Design of Hybrid Intelligent Systems, 2017

Choquet Integral and Interval Type-2 Fuzzy Choquet Integral for Edge Detection.
Proceedings of the Nature-Inspired Design of Hybrid Intelligent Systems, 2017

Non-singleton Interval Type-2 Fuzzy Systems as Integration Methods in Modular Neural Networks Used Genetic Algorithms to Design.
Proceedings of the Nature-Inspired Design of Hybrid Intelligent Systems, 2017

Neuro-Fuzzy Hybrid Model for the Diagnosis of Blood Pressure.
Proceedings of the Nature-Inspired Design of Hybrid Intelligent Systems, 2017

A Gravitational Search Algorithm Using Type-2 Fuzzy Logic for Parameter Adaptation.
Proceedings of the Nature-Inspired Design of Hybrid Intelligent Systems, 2017

General Type-2 Fuzzy Edge Detection in the Preprocessing of a Face Recognition System.
Proceedings of the Nature-Inspired Design of Hybrid Intelligent Systems, 2017

Optimization of Type-2 and Type-1 Fuzzy Integrator to Ensemble Neural Network with Fuzzy Weights Adjustment.
Proceedings of the Nature-Inspired Design of Hybrid Intelligent Systems, 2017

Fireworks Algorithm (FWA) with Adaptation of Parameters Using Fuzzy Logic.
Proceedings of the Nature-Inspired Design of Hybrid Intelligent Systems, 2017

Classification of Arrhythmias Using Modular Architecture of LVQ Neural Network and Type 2 Fuzzy Logic.
Proceedings of the Nature-Inspired Design of Hybrid Intelligent Systems, 2017

Interval type-2 fuzzy logic for dynamic parameter adaptation in the bat algorithm.
Soft Comput., 2017

Edge Detection Method Based on General Type-2 Fuzzy Logic Applied to Color Images.
Information, 2017

Comparison of T-Norms and S-Norms for Interval Type-2 Fuzzy Numbers in Weight Adjustment for Neural Networks.
Information, 2017

Fuzzy rule-based models with interactive rules and their granular generalization.
Fuzzy Sets Syst., 2017

Optimization of modular granular neural networks using a firefly algorithm for human recognition.
Eng. Appl. Artif. Intell., 2017

A Grey Wolf Optimizer for Modular Granular Neural Networks for Human Recognition.
Comput. Intell. Neurosci., 2017

Comparative study of the use of fuzzy logic in improving particle swarm optimization variants for mathematical functions using co-evolution.
Appl. Soft Comput., 2017

A fuzzy hierarchical operator in the grey wolf optimizer algorithm.
Appl. Soft Comput., 2017

Ant colony optimization with dynamic parameter adaptation based on interval type-2 fuzzy logic systems.
Appl. Soft Comput., 2017

Optimization of Intelligent Controllers Using a Type-1 and Interval Type-2 Fuzzy Harmony Search Algorithm.
Algorithms, 2017

New Methodology to Approximate Type-Reduction Based on a Continuous Root-Finding Karnik Mendel Algorithm.
Algorithms, 2017

Design of an Optimized Fuzzy Classifier for the Diagnosis of Blood Pressure with a New Computational Method for Expert Rule Optimization.
Algorithms, 2017

Fuzzy Fireworks Algorithm Based on a Sparks Dispersion Measure.
Algorithms, 2017

An Extension of the Fuzzy Possibilistic Clustering Algorithm Using Type-2 Fuzzy Logic Techniques.
Adv. Fuzzy Systems, 2017

Fuzzy Adaptation for Particle Swarm Optimization for Modular Neural Networks Applied to Iris Recognition.
Proceedings of the Fuzzy Logic in Intelligent System Design, 2017

Trajectory Optimization for an Autonomous Mobile Robot Using the Bat Algorithm.
Proceedings of the Fuzzy Logic in Intelligent System Design, 2017

A Hybrid Intelligent System Model for Hypertension Risk Diagnosis.
Proceedings of the Fuzzy Logic in Intelligent System Design, 2017

How to Gauge the Accuracy of Fuzzy Control Recommendations: A Simple Idea.
Proceedings of the Fuzzy Logic in Intelligent System Design, 2017

Optimization of Deep Neural Network for Recognition with Human Iris Biometric Measure.
Proceedings of the Fuzzy Logic in Intelligent System Design, 2017

A Grey Wolf Optimization Algorithm for Modular Granular Neural Networks Applied to Iris Recognition.
Proceedings of the Hybrid Intelligent Systems, 2017

Dynamic simultaneous adaptation of parameters in the grey wolf optimizer using fuzzy logic.
Proceedings of the 2017 IEEE International Conference on Fuzzy Systems, 2017

Iterative fireworks algorithm with fuzzy coefficients.
Proceedings of the 2017 IEEE International Conference on Fuzzy Systems, 2017

Particle Swarm Optimization with Fuzzy Dynamic Parameters Adaptation for Modular Granular Neural Networks.
Proceedings of the Advances in Fuzzy Logic and Technology 2017 - Proceedings of: EUSFLAT-2017 - The 10th Conference of the European Society for Fuzzy Logic and Technology, September 11-15, 2017, Warsaw, Poland IWIFSGN'2017, 2017

Toward General Type-2 Fuzzy Logic Systems Based on Shadowed Sets.
Proceedings of the Advances in Fuzzy Logic and Technology 2017 - Proceedings of: EUSFLAT- 2017 - The 10th Conference of the European Society for Fuzzy Logic and Technology, September 11-15, 2017, Warsaw, Poland IWIFSGN'2017, 2017

2016
Interval Type-2 Fuzzy System Design Based on the Interval Type-2 Fuzzy C-Means Algorithm.
Proceedings of the Fuzzy Technology - Present Applications and Future Challenges, 2016

Ensemble Neural Network with Type-1 and Type-2 Fuzzy Integration for Time Series Prediction and Its Optimization with PSO.
Proceedings of the Imprecision and Uncertainty in Information Representation and Processing, 2016

Dynamic parameter adaptation in particle swarm optimization using interval type-2 fuzzy logic.
Soft Comput., 2016

An improved sobel edge detection method based on generalized type-2 fuzzy logic.
Soft Comput., 2016

Fuzzy Sets in Dynamic Adaptation of Parameters of a Bee Colony Optimization for Controlling the Trajectory of an Autonomous Mobile Robot.
Sensors, 2016

Method for Higher Order polynomial Sugeno Fuzzy Inference Systems.
Inf. Sci., 2016

Quadrupedal Robot Locomotion: A Biologically Inspired Approach and Its Hardware Implementation.
Comput. Intell. Neurosci., 2016

Optimization of interval type-2 fuzzy systems for image edge detection.
Appl. Soft Comput., 2016

Optimization of type-2 fuzzy weights in backpropagation learning for neural networks using GAs and PSO.
Appl. Soft Comput., 2016

A New Fuzzy Harmony Search Algorithm Using Fuzzy Logic for Dynamic Parameter Adaptation.
Algorithms, 2016

Optimization of Modular Neural Network Architectures with an Improved Particle Swarm Optimization Algorithm.
Proceedings of the Recent Developments and the New Direction in Soft-Computing Foundations and Applications, 2016

Optimization of Ensemble Neural Networks with Type-1 and Type-2 Fuzzy Integration for Prediction of the Taiwan Stock Exchange.
Proceedings of the Recent Developments and the New Direction in Soft-Computing Foundations and Applications, 2016

Ensemble Neural Network with Type-2 Fuzzy Weights Using Response Integration for Time Series Prediction.
Proceedings of the Recent Developments and the New Direction in Soft-Computing Foundations and Applications, 2016

Interval type-2 fuzzy logic gravitational search algorithm for the optimization of modular neural networks in echocardiogram recognition.
Proceedings of the 2016 IEEE Symposium Series on Computational Intelligence, 2016

A new metaheuristic based on the self-defense techniques of the plants in nature.
Proceedings of the 2016 IEEE Symposium Series on Computational Intelligence, 2016

General Type-2 fuzzy edge detectors applied to face recognition systems.
Proceedings of the 2016 Annual Conference of the North American Fuzzy Information Processing Society, 2016

Comparison between Choquet and Sugeno integrals as aggregation operators for pattern recognition.
Proceedings of the 2016 Annual Conference of the North American Fuzzy Information Processing Society, 2016

Water Cycle Algorithm with Fuzzy Logic for Dynamic Adaptation of Parameters.
Proceedings of the Advances in Computational Intelligence, 2016

Interval Type-2 Fuzzy Logic for Parameter Adaptation in the Gravitational Search Algorithm.
Proceedings of the Advances in Computational Intelligence, 2016

An improved Particle Swarm Optimization algorithm applied to Benchmark Functions.
Proceedings of the 8th IEEE International Conference on Intelligent Systems, 2016

Genetic algorithm and Particle Swarm Optimization of ensemble neural networks with type-1 and type-2 fuzzy integration for prediction of the Taiwan Stock Exchange.
Proceedings of the 8th IEEE International Conference on Intelligent Systems, 2016

Ant colony optimization for the design of Modular Neural Networks in pattern recognition.
Proceedings of the 2016 International Joint Conference on Neural Networks, 2016

A firefly algorithm for modular granular neural networks optimization applied to iris recognition.
Proceedings of the 2016 International Joint Conference on Neural Networks, 2016

Comparison between Choquet and Sugeno integrals as aggregation operators for modular neural networks.
Proceedings of the 2016 IEEE International Conference on Fuzzy Systems, 2016

General type-2 fuzzy edge detector applied on face recognition system using neural networks.
Proceedings of the 2016 IEEE International Conference on Fuzzy Systems, 2016

Optimization with genetic algorithm and particle swarm optimization of type-2 fuzzy integrator for ensemble neural network in time series.
Proceedings of the 2016 IEEE International Conference on Fuzzy Systems, 2016

Fuzzy FWA with dynamic adaptation of parameters.
Proceedings of the IEEE Congress on Evolutionary Computation, 2016

2015
Comparative Study of Particle Swarm Optimization Variants in Complex Mathematics Functions.
Proceedings of the Fuzzy Logic Augmentation of Nature-Inspired Optimization Metaheuristics, 2015

An Improved Particle Swarm Optimization Algorithm to Optimize Modular Neural Network Architectures.
Proceedings of the Design of Intelligent Systems Based on Fuzzy Logic, 2015

Optimization of the Interval Type-2 Fuzzy Integrators in Ensembles of ANFIS Models for Time Series Prediction: Case of the Mexican Stock Exchange.
Proceedings of the Design of Intelligent Systems Based on Fuzzy Logic, 2015

Parallel Meta-heuristic Approaches to the Course Timetabling Problem.
Proceedings of the Design of Intelligent Systems Based on Fuzzy Logic, 2015

Modular Neural Networks for Time Series Prediction Using Type-1 Fuzzy Logic Integration.
Proceedings of the Design of Intelligent Systems Based on Fuzzy Logic, 2015

Left Ventricular Border Recognition in Echocardiographic Images Using Modular Neural Networks and Sugeno Integral Measures.
Proceedings of the Design of Intelligent Systems Based on Fuzzy Logic, 2015

Optimization of Ensemble Neural Networks with Fuzzy Integration Using the Particle Swarm Algorithm for Time Series Prediction.
Proceedings of the Design of Intelligent Systems Based on Fuzzy Logic, 2015

Ensemble Neural Network Optimization Using the Particle Swarm Algorithm with Type-1 and Type-2 Fuzzy Integration for Time Series Prediction.
Proceedings of the Fuzzy Logic Augmentation of Nature-Inspired Optimization Metaheuristics, 2015

Optimization of Reactive Fuzzy Controllers for Mobile Robots Based on the Chemical Reactions Algorithm.
Proceedings of the Design of Intelligent Systems Based on Fuzzy Logic, 2015

Face Recognition with a Sobel Edge Detector and the Choquet Integral as Integration Method in a Modular Neural Networks.
Proceedings of the Design of Intelligent Systems Based on Fuzzy Logic, 2015

An Efficient Representation Scheme of Candidate Solutions for the Master Bay Planning Problem.
Proceedings of the Design of Intelligent Systems Based on Fuzzy Logic, 2015

Design of a Fuzzy System for Diagnosis of Hypertension.
Proceedings of the Design of Intelligent Systems Based on Fuzzy Logic, 2015

A Gravitational Search Algorithm for Optimization of Modular Neural Networks in Pattern Recognition.
Proceedings of the Fuzzy Logic Augmentation of Nature-Inspired Optimization Metaheuristics, 2015

Color Image Edge Detection Method Based on Interval Type-2 Fuzzy Systems.
Proceedings of the Design of Intelligent Systems Based on Fuzzy Logic, 2015

Neural Network with Fuzzy Weights Using Type-1 and Type-2 Fuzzy Learning for the Dow-Jones Time Series.
Proceedings of the Design of Intelligent Systems Based on Fuzzy Logic, 2015

Evolutionary Indirect Design of Feed-Forward Spiking Neural Networks.
Proceedings of the Design of Intelligent Systems Based on Fuzzy Logic, 2015

Optimization of the LVQ Network Architecture with a Modular Approach for Arrhythmia Classification Using PSO.
Proceedings of the Design of Intelligent Systems Based on Fuzzy Logic, 2015

Fuzzy Controllers for Autonomous Mobile Robots.
Proceedings of the Springer Handbook of Computational Intelligence, 2015

Pattern Recognition with Modular Neural Networks and Type-2 Fuzzy Logic.
Proceedings of the Springer Handbook of Computational Intelligence, 2015

A hybrid learning method composed by the orthogonal least-squares and the back-propagation learning algorithms for interval A2-C1 type-1 non-singleton type-2 TSK fuzzy logic systems.
Soft Comput., 2015

Optimization of modular granular neural networks using a hierarchical genetic algorithm based on the database complexity applied to human recognition.
Inf. Sci., 2015

Generalized type-2 fuzzy weight adjustment for backpropagation neural networks in time series prediction.
Inf. Sci., 2015

New approach using ant colony optimization with ant set partition for fuzzy control design applied to the ball and beam system.
Inf. Sci., 2015

Introduction to an optimization algorithm based on the chemical reactions.
Inf. Sci., 2015

Lower and Upper Bounds for the Master Bay Planning Problem.
IJCOPI, 2015

Fuzzy logic in the gravitational search algorithm for the optimization of modular neural networks in pattern recognition.
Expert Syst. Appl., 2015

Fuzzy logic in the gravitational search algorithm enhanced using fuzzy logic with dynamic alpha parameter value adaptation for the optimization of modular neural networks in echocardiogram recognition.
Appl. Soft Comput., 2015

A new approach for dynamic fuzzy logic parameter tuning in Ant Colony Optimization and its application in fuzzy control of a mobile robot.
Appl. Soft Comput., 2015

A new Interval Type-2 Fuzzy Possibilistic C-Means clustering algorithm.
Proceedings of the 2015 Annual Conference of the North American Fuzzy Information Processing Society (NAFIPS) held jointly with 2015 5th World Conference on Soft Computing (WConSC), 2015

Response integration in modular neural networks using Choquet Integral with Interval type 2 Sugeno measures.
Proceedings of the 2015 Annual Conference of the North American Fuzzy Information Processing Society (NAFIPS) held jointly with 2015 5th World Conference on Soft Computing (WConSC), 2015

Edge detection method based on Interval type-2 fuzzy systems for color images.
Proceedings of the 2015 Annual Conference of the North American Fuzzy Information Processing Society (NAFIPS) held jointly with 2015 5th World Conference on Soft Computing (WConSC), 2015

A new classification method based on LVQ neural networks and Fuzzy Logic.
Proceedings of the 2015 Annual Conference of the North American Fuzzy Information Processing Society (NAFIPS) held jointly with 2015 5th World Conference on Soft Computing (WConSC), 2015

Time Series Prediction Using Ensembles of ANFIS Models with Particle Swarm Optimization of the Fuzzy Integrators.
Proceedings of the Advances in Artificial Intelligence and Soft Computing, 2015

Modular Neural Network Preprocessing Procedure with Intuitionistic Fuzzy InterCriteria Analysis Method.
Proceedings of the Flexible Query Answering Systems 2015, 2015

A Proposal of a Fuzzy System for Hypertension Diagnosis.
Proceedings of the Novel Developments in Uncertainty Representation and Processing - Advances in Intuitionistic Fuzzy Sets and Generalized Nets, 2015

Optimization of the LVQ Network Architectures with a Modular Approach for Arrhythmia Classification.
Proceedings of the Novel Developments in Uncertainty Representation and Processing - Advances in Intuitionistic Fuzzy Sets and Generalized Nets, 2015

Optimization of the Fuzzy Integrators in Ensembles of ANFIS Model for Time Series Prediction: The case of Mackey-Glass.
Proceedings of the 2015 Conference of the International Fuzzy Systems Association and the European Society for Fuzzy Logic and Technology (IFSA-EUSFLAT-15), 2015

Cuckoo search algorithm for the optimization of type-2 fuzzy image edge detection systems.
Proceedings of the IEEE Congress on Evolutionary Computation, 2015

2014
Comparative Study of Social Network Structures in PSO.
Proceedings of the Recent Advances on Hybrid Approaches for Designing Intelligent Systems, 2014

Genetic Optimization of Type-2 Fuzzy Integrators in Ensembles of ANFIS Models for Time Series Prediction.
Proceedings of the Recent Advances on Hybrid Approaches for Designing Intelligent Systems, 2014

Generic Memetic Algorithm for Course Timetabling ITC2007.
Proceedings of the Recent Advances on Hybrid Approaches for Designing Intelligent Systems, 2014

Chemical Optimization Method for Modular Neural Networks Applied in Emotion Classification.
Proceedings of the Recent Advances on Hybrid Approaches for Designing Intelligent Systems, 2014

A Hybrid Method Combining Modular Neural Networks with Fuzzy Integration for Human Identification Based on Hand Geometric Information.
Proceedings of the Recent Advances on Hybrid Approaches for Designing Intelligent Systems, 2014

Hierarchical Genetic Algorithms for Type-2 Fuzzy System Optimization Applied to Pattern Recognition and Fuzzy Control.
Proceedings of the Recent Advances on Hybrid Approaches for Designing Intelligent Systems, 2014

A Loading Procedure for the Containership Stowage Problem.
Proceedings of the Recent Advances on Hybrid Approaches for Designing Intelligent Systems, 2014

Characterization of the Optimization Process.
Proceedings of the Recent Advances on Hybrid Approaches for Designing Intelligent Systems, 2014

Ensemble Neural Network Optimization Using the Particle Swarm Algorithm with Type-1 and Type-2 Fuzzy Integration for Time Series Prediction.
Proceedings of the Recent Advances on Hybrid Approaches for Designing Intelligent Systems, 2014

Shipwrecked on Fear: Selection of Electives in School Minorities in a University Using Cuckoo Search Algorithm.
Proceedings of the Recent Advances on Hybrid Approaches for Designing Intelligent Systems, 2014

Face Recognition with Choquet Integral in Modular Neural Networks.
Proceedings of the Recent Advances on Hybrid Approaches for Designing Intelligent Systems, 2014

Echocardiogram Image Recognition Using Neural Networks.
Proceedings of the Recent Advances on Hybrid Approaches for Designing Intelligent Systems, 2014

Neural Network with Fuzzy Weights Using Type-1 and Type-2 Fuzzy Learning with Gaussian Membership Functions.
Proceedings of the Recent Advances on Hybrid Approaches for Designing Intelligent Systems, 2014

Comparing Metaheuristic Algorithms on the Training Process of Spiking Neural Networks.
Proceedings of the Recent Advances on Hybrid Approaches for Designing Intelligent Systems, 2014

Optimization of Modular Neural Networks with the LVQ Algorithm for Classification of Arrhythmias Using Particle Swarm Optimization.
Proceedings of the Recent Advances on Hybrid Approaches for Designing Intelligent Systems, 2014

Edge-Detection Method for Image Processing Based on Generalized Type-2 Fuzzy Logic.
IEEE Trans. Fuzzy Syst., 2014

Hybrid back-propagation training with evolutionary strategies.
Soft Comput., 2014

Application of interval type-2 fuzzy neural networks in non-linear identification and time series prediction.
Soft Comput., 2014

Modular Neural Networks architecture optimization with a new nature inspired method using a fuzzy combination of Particle Swarm Optimization and Genetic Algorithms.
Inf. Sci., 2014

Fuzzy granular gravitational clustering algorithm for multivariate data.
Inf. Sci., 2014

Particle swarm optimization of ensemble neural networks with fuzzy aggregation for time series prediction of the Mexican Stock Exchange.
Inf. Sci., 2014

A new neural network model based on the LVQ algorithm for multi-class classification of arrhythmias.
Inf. Sci., 2014

Interval type-2 fuzzy weight adjustment for backpropagation neural networks with application in time series prediction.
Inf. Sci., 2014

A review on interval type-2 fuzzy logic applications in intelligent control.
Inf. Sci., 2014

Time series prediction using ensembles of ANFIS models with genetic optimization of interval type-2 and type-1 fuzzy integrators.
Int. J. Hybrid Intell. Syst., 2014

Optimization of Ensemble Neural Networks with Type-2 Fuzzy Integration of Responses for the Dow Jones Time Series Prediction.
Intelligent Automation & Soft Computing, 2014

Embedded Average of an Interval Type-2 Fuzzy Systems for Applications in FPGAs.
Intelligent Automation & Soft Computing, 2014

A survey on nature-inspired optimization algorithms with fuzzy logic for dynamic parameter adaptation.
Expert Syst. Appl., 2014

Optimization of modular granular neural networks using hierarchical genetic algorithms for human recognition using the ear biometric measure.
Eng. Appl. Artif. Intell., 2014

Toolbox for bio-inspired optimization of mathematical functions.
Comp. Applic. in Engineering Education, 2014

A review on type-2 fuzzy logic applications in clustering, classification and pattern recognition.
Appl. Soft Comput., 2014

A multi-objective optimization of type-2 fuzzy control speed in FPGAs.
Appl. Soft Comput., 2014

Optimal design of interval type 2 fuzzy controllers based on a simple tuning algorithm.
Appl. Soft Comput., 2014

Genetic Optimization of Type-1 and Interval Type-2 Fuzzy Integrators in Ensembles of ANFIS Models for Time Series Prediction.
Proceedings of the Recent Developments and New Direction in Soft-Computing Foundations and Applications, 2014

Optimization of Type-1 and Type-2 Fuzzy Systems Applied to Pattern Recognition.
Proceedings of the Recent Developments and New Direction in Soft-Computing Foundations and Applications, 2014

Interval Type-2 Fuzzy Possibilistic C-Means Clustering Algorithm.
Proceedings of the Recent Developments and New Direction in Soft-Computing Foundations and Applications, 2014

Design of Ensemble Neural Networks for Predicting the US Dollar/MX Time Series with Particle Swarm Optimization.
Proceedings of the Recent Developments and New Direction in Soft-Computing Foundations and Applications, 2014

Choquet Integral with Interval Type 2 Sugeno Measures as an Integration Method for Modular Neural Networks.
Proceedings of the Recent Developments and New Direction in Soft-Computing Foundations and Applications, 2014

Optimization by Cuckoo Search of Interval Type-2 Fuzzy Logic Systems for Edge Detection.
Proceedings of the Recent Developments and New Direction in Soft-Computing Foundations and Applications, 2014

A Neural Network with a Learning Vector Quantization Algorithm for Multiclass Classification Using a Modular Approach.
Proceedings of the Recent Developments and New Direction in Soft-Computing Foundations and Applications, 2014

Implementing flower multi-objective algorithm for selection of university academic credits.
Proceedings of the 2014 Sixth World Congress on Nature and Biologically Inspired Computing, 2014

Hierarchical Genetic Algorithms for Fuzzy Inference System Optimization Applied to Response Integration for Pattern Recognition.
Proceedings of the Nature-Inspired Computation and Machine Learning, 2014

Nature-Inspired Optimization of Type-2 Fuzzy Systems.
Proceedings of the Nature-Inspired Computation and Machine Learning, 2014

Developing Architectures of Spiking Neural Networks by Using Grammatical Evolution Based on Evolutionary Strategy.
Proceedings of the Pattern Recognition - 6th Mexican Conference, 2014

Fuzzy System Optimization Using a Hierarchical Genetic Algorithm Applied to Pattern Recognition.
Proceedings of the Intelligent Systems'2014, 2014

Comparison of Neural Networks with Different Membership Functions in the Type-2 Fuzzy Weights.
Proceedings of the Intelligent Systems'2014, 2014

Short Remark on Fuzzy Sets, Interval Type-2 Fuzzy Sets, General Type-2 Fuzzy Sets and Intuitionistic Fuzzy Sets.
Proceedings of the Intelligent Systems'2014, 2014

Design of an Optimal Modular LVQ Network for Classification of Arrhythmias Based on a Variable Training-Test Datasets Strategy.
Proceedings of the Intelligent Systems'2014, 2014

Optimization of the type-1 and interval type-2 fuzzy integrators in Ensembles of ANFIS models for prediction of the Dow Jones time series.
Proceedings of the 2014 IEEE Symposium on Computational Intelligence and Data Mining, 2014

2013
Multi-Objective Hierarchical Genetic Algorithm for Modular Granular Neural Network Optimization.
Proceedings of the Soft Computing Applications in Optimization, Control, and Recognition, 2013

Type-2 Fuzzy Logic in Image Analysis and Pattern Recognition.
Proceedings of the Advances in Type-2 Fuzzy Sets and Systems - Theory and Applications, 2013

Particle Swarm Optimization for Multi-objective Control Design Using AT2-FLC in FPGA Device.
Proceedings of the Soft Computing Applications in Optimization, Control, and Recognition, 2013

Type-2 Fuzzy Weight Adjustment for Backpropagation in Prediction Time Series and Pattern Recognition.
Proceedings of the Soft Computing Applications in Optimization, Control, and Recognition, 2013

Bio-inspired Optimization of Interval Type-2 Fuzzy Controllers.
Proceedings of the Soft Computing: State of the Art Theory and Novel Applications, 2013

Optimization of Type-2 and Type-1 Fuzzy Tracking Controllers for an Autonomous Mobile Robot under Perturbed Torques by Means of a Chemical Optimization Paradigm.
Proceedings of the Soft Computing Applications in Optimization, Control, and Recognition, 2013

Architecture of Modular Neural Network in Pattern Recognition.
Proceedings of the Recent Advances on Hybrid Intelligent Systems, 2013

Comparative Study of Particle Swarm Optimization Variants in Complex Mathematics Functions.
Proceedings of the Recent Advances on Hybrid Intelligent Systems, 2013

Bio-inspired Optimization Methods on Graphic Processing Unit for Minimization of Complex Mathematical Functions.
Proceedings of the Recent Advances on Hybrid Intelligent Systems, 2013

A Hand Geometry Biometric Identification System Utilizing Modular Neural Networks with Fuzzy Integration.
Proceedings of the Recent Advances on Hybrid Intelligent Systems, 2013

Multi-Objective Hierarchical Genetic Algorithm for Modular Neural Network Optimization Using a Granular Approach.
Proceedings of the Recent Advances on Hybrid Intelligent Systems, 2013

Constructive Algorithm for a Benchmark in Ship Stowage Planning.
Proceedings of the Recent Advances on Hybrid Intelligent Systems, 2013

Improving the Performance of Heuristic Algorithms Based on Exploratory Data Analysis.
Proceedings of the Recent Advances on Hybrid Intelligent Systems, 2013

A New Method for Type-2 Fuzzy Integration in Ensemble Neural Networks Based on Genetic Algorithms.
Proceedings of the Recent Advances on Hybrid Intelligent Systems, 2013

Interval Type-2 Fuzzy System for Image Edge Detection Quality Evaluation Applied to Synthetic and Real Images.
Proceedings of the Recent Advances on Hybrid Intelligent Systems, 2013

Particle Swarm Optimization for Average Approximation of Interval Type-2 Fuzzy Inference Systems Design in FPGAs for Real Applications.
Proceedings of the Recent Advances on Hybrid Intelligent Systems, 2013

Genetic Optimization of Type-2 Fuzzy Weight Adjustment for Backpropagation in Ensemble Neural Network.
Proceedings of the Recent Advances on Hybrid Intelligent Systems, 2013

Development of an Automatic Method for Classification of Signatures in a Recognition System Based on Modular Neural Networks.
Proceedings of the Recent Advances on Hybrid Intelligent Systems, 2013

Optimization of a Fuzzy Tracking Controller for an Autonomous Mobile Robot under Perturbed Torques by Means of a Chemical Optimization Paradigm.
Proceedings of the Recent Advances on Hybrid Intelligent Systems, 2013

Optimal design of fuzzy classification systems using PSO with dynamic parameter adaptation through fuzzy logic.
Expert Syst. Appl., 2013

A review on the applications of type-2 fuzzy logic in classification and pattern recognition.
Expert Syst. Appl., 2013

Optimal design of type-2 and type-1 fuzzy tracking controllers for autonomous mobile robots under perturbed torques using a new chemical optimization paradigm.
Expert Syst. Appl., 2013

Ant colony test center for planning autonomous mobile robot navigation.
Comp. Applic. in Engineering Education, 2013

A visual toolbox for modeling and testing multi-net neural systems.
Comp. Applic. in Engineering Education, 2013

Computational intelligence software for interval type-2 fuzzy logic.
Comp. Applic. in Engineering Education, 2013

Particle swarm optimization of interval type-2 fuzzy systems for FPGA applications.
Appl. Soft Comput., 2013

Universal Approximation of a Class of Interval Type-2 Fuzzy Neural Networks in Nonlinear Identification.
Adv. Fuzzy Systems, 2013

An edge detection method based on generalized type-2 fuzzy logic.
Proceedings of the 2013 IEEE Symposium on Advances in Type-2 Fuzzy Logic Systems, 2013

A new methodology for membership function design using Ant Colony Optimization.
Proceedings of the 2013 IEEE Symposium on Swarm Intelligence, 2013

Optimization of interval type-2 and type-1 fuzzy integrators in ensembles of ANFIS models with Genetic Algorithms.
Proceedings of the Fifth World Congress on Nature and Biologically Inspired Computing, 2013

Optimization of ensemble neural networks with type-2 fuzzy response integration for predicting the Mackey-Glass time series.
Proceedings of the Fifth World Congress on Nature and Biologically Inspired Computing, 2013

Optimization of type-2 fuzzy weight for neural network using genetic algorithm and particle swarm optimization.
Proceedings of the Fifth World Congress on Nature and Biologically Inspired Computing, 2013

An Ant Colony Algorithm for Improving Ship Stability in the Containership Stowage Problem.
Proceedings of the Advances in Soft Computing and Its Applications, 2013

Time series prediction using ensembles of neuro-fuzzy models with interval type-2 and type-1 fuzzy integrators.
Proceedings of the 2013 International Joint Conference on Neural Networks, 2013

Backpropagation learning method with interval type-2 fuzzy weights in neural networks.
Proceedings of the 2013 International Joint Conference on Neural Networks, 2013

Neuro-fuzzy fitness in a genetic algorithm for optimal fuzzy controller design.
Proceedings of the 2013 International Joint Conference on Neural Networks, 2013

Hierarchical Genetic Algorithm for Type-2 fuzzy Integration applied to Human Recognition.
Proceedings of the Joint IFSA World Congress and NAFIPS Annual Meeting, 2013

Optimization of type-2 fuzzy integration in ensemble neural networks for predicting the US Dolar/MX pesos time series.
Proceedings of the Joint IFSA World Congress and NAFIPS Annual Meeting, 2013

Fuzzy operators for quality evaluation in images edge detection.
Proceedings of the Joint IFSA World Congress and NAFIPS Annual Meeting, 2013

Genetic optimization of interval type-2 fuzzy reactive controllers for mobile robots.
Proceedings of the Joint IFSA World Congress and NAFIPS Annual Meeting, 2013

Generalized type-2 fuzzy logic in response integration of modular neural networks.
Proceedings of the Joint IFSA World Congress and NAFIPS Annual Meeting, 2013

A new approach based on generalized type-2 fuzzy logic for edge detection.
Proceedings of the Joint IFSA World Congress and NAFIPS Annual Meeting, 2013

Neural network with lower and upper type-2 fuzzy weights using the backpropagation learning method.
Proceedings of the Joint IFSA World Congress and NAFIPS Annual Meeting, 2013

Nature inspired chemical optimization to design a type-2 fuzzy controller for a mobile robot.
Proceedings of the Joint IFSA World Congress and NAFIPS Annual Meeting, 2013

A new approach for time series prediction using ensembles of ANFIS models with interval type-2 and type-1 fuzzy integrators.
Proceedings of the 2013 IEEE Conference on Computational Intelligence for Financial Engineering & Economics, 2013

A new gravitational search algorithm using fuzzy logic to parameter adaptation.
Proceedings of the IEEE Congress on Evolutionary Computation, 2013

Modular granular neural networks optimization with Multi-Objective Hierarchical Genetic Algorithm for human recognition based on iris biometric.
Proceedings of the IEEE Congress on Evolutionary Computation, 2013

Interval Type-2 Fuzzy Logic in Hybrid Neural Pattern Recognition Systems.
Proceedings of the On Fuzziness - A Homage to Lotfi A. Zadeh - Volume 2, 2013

2012
Image Processing and Pattern Recognition with Mamdani Interval Type-2 Fuzzy Inference Systems.
Proceedings of the Combining Experimentation and Theory - A Hommage to Abe Mamdani, 2012

Modular Neural Networks and Type-2 Fuzzy Systems for Pattern Recognition
Studies in Computational Intelligence 389, Springer, ISBN: 978-3-642-24138-3, 2012

Neural Networks and Learning Systems Come Together.
IEEE Trans. Neural Networks Learn. Syst., 2012

Genetic optimization of modular neural networks with fuzzy response integration for human recognition.
Inf. Sci., 2012

Comparative study of bio-inspired algorithms applied to the optimization of type-1 and type-2 fuzzy controllers for an autonomous mobile robot.
Inf. Sci., 2012

Optimization of type-2 fuzzy systems based on bio-inspired methods: A concise review.
Inf. Sci., 2012

A new approach for time series prediction using ensembles of ANFIS models.
Expert Syst. Appl., 2012

An optimization method for designing type-2 fuzzy inference systems based on the footprint of uncertainty using genetic algorithms.
Expert Syst. Appl., 2012

Hybrid intelligent system for cardiac arrhythmia classification with Fuzzy K-Nearest Neighbors and neural networks combined with a fuzzy system.
Expert Syst. Appl., 2012

Embedding a high speed interval type-2 fuzzy controller for a real plant into an FPGA.
Appl. Soft Comput., 2012

A review on the design and optimization of interval type-2 fuzzy controllers.
Appl. Soft Comput., 2012

Nature optimization applied to design a type-2 fuzzy controller for an autonomous mobile robot.
Proceedings of the Fourth World Congress on Nature and Biologically Inspired Computing, 2012

Parallel Particle Swarm Optimization with Parameters Adaptation Using Fuzzy Logic.
Proceedings of the Advances in Computational Intelligence, 2012

Modular Neural Networks Optimization with Hierarchical Genetic Algorithms with Fuzzy Response Integration for Pattern Recognition.
Proceedings of the Advances in Computational Intelligence, 2012

Neural Network with Type-2 Fuzzy Weights Adjustment for Pattern Recognition of the Human Iris Biometrics.
Proceedings of the Advances in Computational Intelligence, 2012

Comparative Study of Type-1 and Type-2 Fuzzy Systems for the Three-Tank Water Control Problem.
Proceedings of the Advances in Computational Intelligence, 2012

2011
Fuzzy Control for Dynamical Parameter Adaptation in a Parallel Evolutionary Method Combining Particle Swarm Optimization and Genetic Algorithms.
Proceedings of the Soft Computing for Intelligent Control and Mobile Robotics, 2011

Optimization of Membership Functions for an Incremental Fuzzy PD Control Based on Genetic Algorithms.
Proceedings of the Soft Computing for Intelligent Control and Mobile Robotics, 2011

Simple Tuning of Type-2 Fuzzy Controllers.
Proceedings of the Soft Computing for Intelligent Control and Mobile Robotics, 2011

An Interval Type-2 Fuzzy Neural Network for Chaotic Time Series Prediction with Cross-Validation and Akaike Test.
Proceedings of the Soft Computing for Intelligent Control and Mobile Robotics, 2011

Face Recognition With an Improved Interval Type-2 Fuzzy Logic Sugeno Integral and Modular Neural Networks.
IEEE Trans. Syst. Man Cybern. Part A, 2011

Optimization of interval type-2 fuzzy logic controllers using evolutionary algorithms.
Soft Comput., 2011

Simulation of the bird age-structured population growth based on an interval type-2 fuzzy cellular structure.
Inf. Sci., 2011

Modelling and Simulation of the defuzzification Stage of a Type-2 Fuzzy Controller Using VHDL Code.
Control. Intell. Syst., 2011

An improved evolutionary method with fuzzy logic for combining Particle Swarm Optimization and Genetic Algorithms.
Appl. Soft Comput., 2011

Design of interval type-2 fuzzy models through optimal granularity allocation.
Appl. Soft Comput., 2011

A new validation index for fuzzy clustering and its comparisons with other methods.
Proceedings of the IEEE International Conference on Systems, 2011

Bio-Inspired Optimization Methods for Minimization of Complex Mathematical Functions.
Proceedings of the Advances in Soft Computing, 2011

A New Model of Modular Neural Networks with Fuzzy Granularity for Pattern Recognition and Its Optimization with Hierarchical Genetic Algorithms.
Proceedings of the Advances in Soft Computing, 2011

Modular Neural Networks with Type-2 Fuzzy Integration for Pattern Recognition of Iris Biometric Measure.
Proceedings of the Advances in Soft Computing, 2011

Intelligent Control of Nonlinear Dynamic Plants Using a Hierarchical Modular Approach and Type-2 Fuzzy Logic.
Proceedings of the Advances in Soft Computing, 2011

Parallel genetic algorithms for optimization of Modular Neural Networks in pattern recognition.
Proceedings of the 2011 International Joint Conference on Neural Networks, 2011

Hierarchical genetic optimization of modular neural networks and their type-2 fuzzy response integrators for human recognition based on multimodal biometry.
Proceedings of the 2011 International Joint Conference on Neural Networks, 2011

Genetic optimization of ensemble neural networks for complex time series prediction.
Proceedings of the 2011 International Joint Conference on Neural Networks, 2011

How many neurons?: a genetic programming answer.
Proceedings of the 13th Annual Genetic and Evolutionary Computation Conference, 2011

Estimating Classifier Performance with Genetic Programming.
Proceedings of the Genetic Programming - 14th European Conference, 2011

2010
Real Time Face Identification Using a Neural Network Approach.
Proceedings of the Soft Computing for Recognition Based on Biometrics, 2010

A New Evolutionary Method with Particle Swarm Optimization and Genetic Algorithms Using Fuzzy Systems to Dynamically Parameter Adaptation.
Proceedings of the Soft Computing for Recognition Based on Biometrics, 2010

Intelligent Method for Contrast Enhancement in Digital Video.
Proceedings of the Soft Computing for Recognition Based on Biometrics, 2010

Modular Neural Network with Fuzzy Integration and Its Optimization Using Genetic Algorithms for Human Recognition Based on Iris, Ear and Voice Biometrics.
Proceedings of the Soft Computing for Recognition Based on Biometrics, 2010

Method for Obstacle Detection and Map Reconfiguration in Wheeled Mobile Robotics.
Proceedings of the Soft Computing for Recognition Based on Biometrics, 2010

Comparison of Fuzzy Edge Detectors Based on the Image Recognition Rate as Performance Index Calculated with Neural Networks.
Proceedings of the Soft Computing for Recognition Based on Biometrics, 2010

Comparative Study of Feature Extraction Methods of Fuzzy Logic Type 1 and Type-2 for Pattern Recognition System Based on the Mean Pixels.
Proceedings of the Soft Computing for Recognition Based on Biometrics, 2010

Comparative Study of Type-2 Fuzzy Inference System Optimization Based on the Uncertainty of Membership Functions.
Proceedings of the Soft Computing for Recognition Based on Biometrics, 2010

Modular Neural Network for Human Recognition from Ear Images Using Wavelets.
Proceedings of the Soft Computing for Recognition Based on Biometrics, 2010

Modular Neural Networks for Person Recognition Using the Contour Segmentation of the Human Iris Biometric Measurement.
Proceedings of the Soft Computing for Recognition Based on Biometrics, 2010

Improvement of the Backpropagation Algorithm Using (1+1) Evolutionary Strategies.
Proceedings of the Soft Computing for Recognition Based on Biometrics, 2010

Parallel Genetic Algorithms for Architecture Optimization of Neural Networks for Pattern Recognition.
Proceedings of the Soft Computing for Recognition Based on Biometrics, 2010

A New Optimization Method Based on a Paradigm Inspired by Nature.
Proceedings of the Soft Computing for Recognition Based on Biometrics, 2010

Ensemble neural networks with fuzzy logic integration for complex time series prediction.
IJIEI, 2010

Evolutionary method combining Particle Swarm Optimisation and Genetic Algorithms using fuzzy logic for parameter adaptation and aggregation: the case neural network optimisation for face recognition.
IJAISC, 2010

Preface to the special section on new trends on pattern recognition with fuzzy models.
Fuzzy Sets Syst., 2010

An improved method for edge detection based on interval type-2 fuzzy logic.
Expert Syst. Appl., 2010

Fuzzy Logic for Parameter Tuning in Evolutionary Computation and Bio-inspired Methods.
Proceedings of the Advances in Soft Computing, 2010

Fuzzy Logic Controllers Optimization Using Genetic Algorithms and Particle Swarm Optimization.
Proceedings of the Advances in Soft Computing, 2010

Type-2 Fuzzy Inference System Optimization Based on the Uncertainty of Membership Functions Applied to Benchmark Problems.
Proceedings of the Advances in Soft Computing, 2010

Neural networks recognition rate as index to compare the performance of fuzzy edge detectors.
Proceedings of the International Joint Conference on Neural Networks, 2010

A new approach for fuzzy feature extraction based on pixel's brightness.
Proceedings of the International Joint Conference on Neural Networks, 2010

Optimization of type-2 fuzzy systems based on the level of uncertainty, applied to response integration in modular neural networks with multimodal biometry.
Proceedings of the International Joint Conference on Neural Networks, 2010

Modular neural network integrator for human recognition from ear images.
Proceedings of the International Joint Conference on Neural Networks, 2010

Modular neural networks for person recognition using segmentation and the iris biometric measurement with image pre-processing.
Proceedings of the International Joint Conference on Neural Networks, 2010

Interval Type-2 Fuzzy Logic Applications in Image Processing and Pattern Recognition.
Proceedings of the 2010 IEEE International Conference on Granular Computing, 2010

Optimal Design of Type-2 Fuzzy Membership Functions Using Genetic Algorithms in a Partitioned Search Space.
Proceedings of the 2010 IEEE International Conference on Granular Computing, 2010

Backpropagation learning with a (1+1) ES.
Proceedings of the Genetic and Evolutionary Computation Conference, 2010

Fuzzy control of parameters to dynamically adapt the PSO and GA Algorithms.
Proceedings of the FUZZ-IEEE 2010, 2010

Evolutionary optimization of type-2 fuzzy systems based on the level of uncertainty.
Proceedings of the FUZZ-IEEE 2010, 2010

2009
Modular Neural Networks Architecture Optimization with a New Evolutionary Method Using a Fuzzy Combination Particle Swarm Optimization and Genetic Algorithms.
Proceedings of the Bio-inspired Hybrid Intelligent Systems for Image Analysis and Pattern Recognition, 2009

A Modular Neural Network with Fuzzy Response Integration for Person Identification Using Biometric Measures.
Proceedings of the Evolutionary Design of Intelligent Systems in Modeling, 2009

Intelligent Hybrid System for Person Identification Using Biometric Measures and Modular Neural Networks with Fuzzy Integration of Responses.
Proceedings of the Bio-inspired Hybrid Intelligent Systems for Image Analysis and Pattern Recognition, 2009

Ensemble Neural Networks with Fuzzy Integration for Complex Time Series Prediction.
Proceedings of the Bio-inspired Hybrid Intelligent Systems for Image Analysis and Pattern Recognition, 2009

An Ensemble Neural Network Architecture with Fuzzy Response Integration for Complex Time Series Prediction.
Proceedings of the Evolutionary Design of Intelligent Systems in Modeling, 2009

Face, Fingerprint and Voice Recognition with Modular Neural Networks and Fuzzy Integration.
Proceedings of the Bio-inspired Hybrid Intelligent Systems for Image Analysis and Pattern Recognition, 2009

Optimization of Fuzzy Response Integrators in Modular Neural Networks with Hierarchical Genetic Algorithms: The Case of Face, Fingerprint and Voice Recognition.
Proceedings of the Evolutionary Design of Intelligent Systems in Modeling, 2009

Comparative Study of Fuzzy Methods for Response Integration in Ensemble Neural Networks for Pattern Recognition.
Proceedings of the Bio-inspired Hybrid Intelligent Systems for Image Analysis and Pattern Recognition, 2009

Optimization of Modular Neural Networks with Interval Type-2 Fuzzy Logic Integration Using an Evolutionary Method with Application to Multimodal Biometry.
Proceedings of the Bio-inspired Hybrid Intelligent Systems for Image Analysis and Pattern Recognition, 2009

Interval Type-2 Fuzzy Logic Applications.
Proceedings of the Human-Centric Information Processing Through Granular Modelling, 2009

Modular Neural Networks with Fuzzy Response Integration for Signature Recognition.
Proceedings of the Bio-inspired Hybrid Intelligent Systems for Image Analysis and Pattern Recognition, 2009

Signature Recognition with a Hybrid Approach Combining Modular Neural Networks and Fuzzy Logic for Response Integration.
Proceedings of the Evolutionary Design of Intelligent Systems in Modeling, 2009

Modular Neural Network with Fuzzy Integration of Responses for Face Recognition.
Proceedings of the Evolutionary Design of Intelligent Systems in Modeling, 2009

Hybrid Soft Computing Models for Systems Modeling and Control.
Proceedings of the Encyclopedia of Complexity and Systems Science, 2009

A hybrid approach for image recognition combining type-2 fuzzy logic, modular neural networks and the Sugeno integral.
Inf. Sci., 2009

Type-1 and type-2 fuzzy inference systems as integration methods in modular neural networks for multimodal biometry and its optimization with genetic algorithms.
Inf. Sci., 2009

A hybrid learning algorithm for a class of interval type-2 fuzzy neural networks.
Inf. Sci., 2009

Editorial to the special issue on high order fuzzy sets.
Inf. Sci., 2009

Interval type-2 fuzzy logic for edges detection in digital images.
Int. J. Intell. Syst., 2009

Preface to the special issue on analysis and design of hybrid intelligent systems.
Int. J. Intell. Syst., 2009

Comparative study of fuzzy methods for response integration in ensemble neural networks.
Int. J. Adv. Intell. Paradigms, 2009

Mediative Fuzzy Logic for Controlling Population Size in Evolutionary Algorithms.
Intelligent Information Management, 2009

Interval type-2 fuzzy logic and modular neural networks for face recognition applications.
Appl. Soft Comput., 2009

Path planning for autonomous mobile robot navigation with ant colony optimization and fuzzy cost function evaluation.
Appl. Soft Comput., 2009

Embedding a KM Type Reducer for High Speed Fuzzy Controller into an FPGA.
Proceedings of the Soft Computing in Industrial Applications, 2009

Interval type-2 fuzzy logic system to simulate the environment resources stochasticity inducing the population growth shape.
Proceedings of the IEEE International Conference on Systems, 2009

Optimization of Type-2 Fuzzy Logic Controllers for Mobile Robots Using Evolutionary Methods.
Proceedings of the IEEE International Conference on Systems, 2009

Fuzzy Logic for Combining Particle Swarm Optimization and Genetic Algorithms: Preliminary Results.
Proceedings of the MICAI 2009: Advances in Artificial Intelligence, 2009

Optimization of Type-2 Fuzzy Integration in Modular Neural Networks Using an Evolutionary Method with Applications in Multimodal Biometry.
Proceedings of the MICAI 2009: Advances in Artificial Intelligence, 2009

Intelligence techniques are needed to further enhance the advantage of groups with diversity in problem solving.
Proceedings of the 2009 IEEE Workshop on Hybrid Intelligent Models and Applications, 2009

Tutorial: Hybrid intelligent systems with Soft Computing techniques.
Proceedings of the 2009 IEEE Workshop on Hybrid Intelligent Models and Applications, 2009

A hybrid approach with the wavelet transform, modular neural networks and fuzzy integrals for face and fingerprint recognition.
Proceedings of the 2009 IEEE Workshop on Hybrid Intelligent Models and Applications, 2009

Evolutionary method combining particle swarm optimization and genetic algorithms using fuzzy logic for decision making.
Proceedings of the FUZZ-IEEE 2009, 2009

Application of interval type-2 fuzzy logic for estimating module relevance in Sugeno integration of modular neural networks.
Proceedings of the FUZZ-IEEE 2009, 2009

Fuzzy Logic Adaptation of a Hybrid Evolutionary Method for Pattern Recognition.
Proceedings of the Joint 2009 International Fuzzy Systems Association World Congress and 2009 European Society of Fuzzy Logic and Technology Conference, 2009

The Use of Interval Type-2 Fuzzy Logic as a General Method for Edge Detection.
Proceedings of the Joint 2009 International Fuzzy Systems Association World Congress and 2009 European Society of Fuzzy Logic and Technology Conference, 2009

Pattern Recognition in Blur Motion Noisy Images using Fuzzy Methods for Response Integration in Ensemble Neural Networks.
Proceedings of the Joint 2009 International Fuzzy Systems Association World Congress and 2009 European Society of Fuzzy Logic and Technology Conference, 2009

Universal Approximation of a Class of Interval Type-2 Fuzzy Neural Networks Illustrated with the Case of Non-linear Identification.
Proceedings of the Joint 2009 International Fuzzy Systems Association World Congress and 2009 European Society of Fuzzy Logic and Technology Conference, 2009

2008
Optimization of Modular Neural Network, Using Genetic Algorithms: The Case of Face and Voice Recognition.
Proceedings of the Soft Computing for Hybrid Intelligent Systems, 2008

A New Evolutionary Method Combining Particle Swarm Optimization and Genetic Algorithms Using Fuzzy Logic.
Proceedings of the Soft Computing for Hybrid Intelligent Systems, 2008

High Performance Parallel Programming of a GA Using Multi-core Technology.
Proceedings of the Soft Computing for Hybrid Intelligent Systems, 2008

A New Biometric Recognition Technique Based on Hand Geometry and Voice Using Neural Networks and Fuzzy Logic.
Proceedings of the Soft Computing for Hybrid Intelligent Systems, 2008

Interval Type-2 Fuzzy Logic for Module Relevance Estimation in Sugeno Integration of Modular Neural Networks.
Proceedings of the Soft Computing for Hybrid Intelligent Systems, 2008

Optimization of Artificial Neural Network Architectures for Time Series Prediction Using Parallel Genetic Algorithms.
Proceedings of the Soft Computing for Hybrid Intelligent Systems, 2008

Optimization of Response Integration with Fuzzy Logic in Ensemble Neural Networks Using Genetic Algorithms.
Proceedings of the Soft Computing for Hybrid Intelligent Systems, 2008

Type-1 and Type-2 Fuzzy Inference Systems as Integration Methods in Modular Neural Networks for Multimodal Biometry and Its Optimization with Genetic Algorithms.
Proceedings of the Soft Computing for Hybrid Intelligent Systems, 2008

A Hybrid Learning Algorithm for Interval Type-2 Fuzzy Neural Networks: The Case of Time Series Prediction.
Proceedings of the Soft Computing for Hybrid Intelligent Systems, 2008

Scalability Potential of Multi-core Architecture in a Neuro-Fuzzy System.
Proceedings of the Soft Computing for Hybrid Intelligent Systems, 2008

Fuzzy Modeling Fundamentals.
Proceedings of the Wiley Encyclopedia of Computer Science and Engineering, 2008

Building Fuzzy Inference Systems with a New Interval Type-2 Fuzzy Logic Toolbox.
Trans. Comput. Sci., 2008

Mediative fuzzy logic: a new approach for contradictory knowledge management.
Soft Comput., 2008

Fingerprint recognition using the fuzzy Sugeno integral for response integration in modular neural networks.
Int. J. General Systems, 2008

Interval type-2 fuzzy inference systems as integration methods in modular neural networks for multimodal biometry and its optimisation with genetic algorithms.
Int. J. Biom., 2008

A new evolutionary method with fuzzy logic for combining Particle Swarm Optimization and Genetic Algorithms: The case of neural networks optimization.
Proceedings of the International Joint Conference on Neural Networks, 2008

Estimating module relevance with Sugeno integration of modular neural networks using Interval Type-2 Fuzzy logic.
Proceedings of the International Joint Conference on Neural Networks, 2008

Response integration in Ensemble Neural Networks using interval type-2 Fuzzy logic.
Proceedings of the International Joint Conference on Neural Networks, 2008

Optimization with genetic algorithms of modular neural networks using interval type-2 fuzzy logic for response integration: The case of multimodal biometry.
Proceedings of the International Joint Conference on Neural Networks, 2008

Computational intelligence software: Type-2 Fuzzy Logic and Modular Neural Networks.
Proceedings of the International Joint Conference on Neural Networks, 2008

Decentralized indirect adaptive Fuzzy-Neural Multi-Model control of a distributed parameter bioprocess plant.
Proceedings of the International Joint Conference on Neural Networks, 2008

Intelligent control using an Interval Type-2 Fuzzy Neural Network with a hybrid learning algorithm.
Proceedings of the FUZZ-IEEE 2008, 2008

A New Evolutionary Method with a Hybrid Approach Combining Particle Swarm Optimization and Genetic Algorithms using Fuzzy Logic for Decision Making.
Proceedings of the IEEE Congress on Evolutionary Computation, 2008

Type-2 Fuzzy Logic: Theory and Applications
Studies in Fuzziness and Soft Computing 223, Springer, ISBN: 978-3-540-76283-6, 2008

2007
A Comparative Study of Controllers Using Type-2 and Type-1 Fuzzy Logic.
Proceedings of the Hybrid Intelligent Systems - Analysis and Design, 2007

Evolutionary Optimization of a Wiener Model.
Proceedings of the Hybrid Intelligent Systems - Analysis and Design, 2007

Modular Neural Networks with Fuzzy Sugeno Integration Applied to Time Series Prediction.
Proceedings of the Hybrid Intelligent Systems - Analysis and Design, 2007

Modular Neural Networks and Fuzzy Sugeno Integral for Pattern Recognition: The Case of Human Face and Fingerprint.
Proceedings of the Hybrid Intelligent Systems - Analysis and Design, 2007

Time Series Forecasting of Tomato Prices and Processing in Parallel in Mexico Using Modular Neural Networks.
Proceedings of the Hybrid Intelligent Systems - Analysis and Design, 2007

The Fuzzy Sugeno Integral as a Decision Operator in the Recognition of Images with Modular Neural Networks.
Proceedings of the Hybrid Intelligent Systems - Analysis and Design, 2007

Evolutionary Computing for the Optimization of Mathematical Functions.
Proceedings of the Analysis and Design of Intelligent Systems using Soft Computing Techniques, 2007

A Method for Response Integration in Modular Neural Networks with Type-2 Fuzzy Logic for Biometric Systems.
Proceedings of the Analysis and Design of Intelligent Systems using Soft Computing Techniques, 2007

An Efficient Computational Method to Implement Type-2 Fuzzy Logic in Control Applications.
Proceedings of the Analysis and Design of Intelligent Systems using Soft Computing Techniques, 2007

Providing Intelligence to Evolutionary Computational Methods.
Proceedings of the Analysis and Design of Intelligent Systems using Soft Computing Techniques, 2007

Modular Neural Networks with Fuzzy Integration Applied for Time Series Forecasting.
Proceedings of the Analysis and Design of Intelligent Systems using Soft Computing Techniques, 2007

Pattern Recognition Using Modular Neural Networks and Fuzzy Integral as Method for Response Integration.
Proceedings of the Analysis and Design of Intelligent Systems using Soft Computing Techniques, 2007

Design of Modular Neural Networks with Fuzzy Integration Applied to Time Series Prediction.
Proceedings of the Analysis and Design of Intelligent Systems using Soft Computing Techniques, 2007

A Method for Creating Ensemble Neural Networks Using a Sampling Data Approach.
Proceedings of the Analysis and Design of Intelligent Systems using Soft Computing Techniques, 2007

Building Fuzzy Inference Systems with the Interval Type-2 Fuzzy Logic Toolbox.
Proceedings of the Analysis and Design of Intelligent Systems using Soft Computing Techniques, 2007

Multiple Objective Genetic Algorithms for Path-planning Optimization in Autonomous Mobile Robots.
Soft Comput., 2007

Experimental study of intelligent controllers under uncertainty using type-1 and type-2 fuzzy logic.
Inf. Sci., 2007

Human evolutionary model: A new approach to optimization.
Inf. Sci., 2007

An intelligent hybrid approach for industrial quality control combining neural networks, fuzzy logic and fractal theory.
Inf. Sci., 2007

Special Issue on Hybrid Intelligent Systems.
Inf. Sci., 2007

Hierarchical genetic algorithms for topology optimization in fuzzy control systems.
Int. J. General Systems, 2007

Data Mining for extraction of fuzzy IF-THEN rules using Mamdani and Takagi-Sugeno-Kang FIS.
Engineering Letters, 2007

Fuzzy Inference Systems Type-1 and Type-2 for Digital Images Edge Detection.
Engineering Letters, 2007

A hybrid modular neural network architecture with fuzzy Sugeno integration for time series forecasting.
Appl. Soft Comput., 2007

Preface to the special issue on soft computing for time series prediction.
Appl. Soft Comput., 2007

A New Method for Response Integration in Modular Neural Networks using Type-2 Fuzzy Logic for Biometric Systems.
Proceedings of the International Joint Conference on Neural Networks, 2007

Type-2 Fuzzy Systems for Improving Training Data and Decision Making in Modular Neural Networks for Image Recognition.
Proceedings of the International Joint Conference on Neural Networks, 2007

Pattern Recognition for Industrial Monitoring and Security using the Fuzzy Sugeno Integral and Modular Neural Networks.
Proceedings of the International Joint Conference on Neural Networks, 2007

Comparison of Hybrid Intelligent Systems, Neural Networks and Interval Type-2 Fuzzy Logic for Time Series Prediction.
Proceedings of the International Joint Conference on Neural Networks, 2007

Type-2 Fuzzy Logic for Improving Training Data and Response Integration in Modular Neural Networks for Image Recognition.
Proceedings of the Foundations of Fuzzy Logic and Soft Computing, 2007

A Method for Creating Ensemble Neural Networks Using a Sampling Data Approach.
Proceedings of the Theoretical Advances and Applications of Fuzzy Logic and Soft Computing, 2007

A New Method for Edge Detection in Image Processing Using Interval Type-2 Fuzzy Logic.
Proceedings of the 2007 IEEE International Conference on Granular Computing, 2007

Hybrid Learning Algorithm for Interval Type-2 Fuzzy Neural Networks.
Proceedings of the 2007 IEEE International Conference on Granular Computing, 2007

Type-2 Fuzzy Logic: Theory and Applications.
Proceedings of the 2007 IEEE International Conference on Granular Computing, 2007

A Method for Response Integration in Modular Neural Networks using Interval Type-2 Fuzzy Logic.
Proceedings of the FUZZ-IEEE 2007, 2007

Evolutionary Optimization of Interval Type-2 Membership Functions Using the Human Evolutionary Model.
Proceedings of the FUZZ-IEEE 2007, 2007

An Interval Type-2 Fuzzy Logic Toolbox for Control Applications.
Proceedings of the FUZZ-IEEE 2007, 2007

Performance of a Simple Tuned Fuzzy Controller and a PID Controller on a DC Motor.
Proceedings of the IEEE Symposium on Foundations of Computational Intelligence, 2007

2006
Interval-Related Talks at the International Conference on Fuzzy Systems, Neural Networks, and Genetic Algorithms FNG'05.
Reliab. Comput., 2006

Analyzing the effects of the Footprint of Uncertainty in Type-2 Fuzzy Logic Controllers.
Engineering Letters, 2006

Voice Recognition with Neural Networks, Type-2 Fuzzy Logic and Genetic Algorithms.
Engineering Letters, 2006

Intelligent Control of an Autonomous Mobile Robot using Type-2 Fuzzy Logic.
Engineering Letters, 2006

Forecasting Economic Time Series Using Modular Neural Networks and the Fuzzy Sugeno Integral as Response Integration Method.
Proceedings of the International Joint Conference on Neural Networks, 2006

An Intelligent System for Pattern Recognition and Time Series Prediction using Modular Neural Networks.
Proceedings of the International Joint Conference on Neural Networks, 2006

Type-2 Fuzzy Logic as a Method of Response Integration in Modular Neural Networks.
Proceedings of the 2006 International Conference on Artificial Intelligence, 2006

Intelligent Control of Dynamic Population Size for Evolutionary Algorithms.
Proceedings of the 2006 International Conference on Artificial Intelligence, 2006

Evolutionary Optimization of Interval Type-2 Membership Functions.
Proceedings of the 2006 International Conference on Artificial Intelligence, 2006

A Hybrid Approach with Modular Neural Networks and Fuzzy Logic for Time Series Prediction.
Proceedings of the 2006 International Conference on Artificial Intelligence, 2006

Monitoring and Diagnostics with Intelligent Agents using Fuzzy Logic.
Proceedings of the 2006 International Conference on Artificial Intelligence, 2006

Design of Stable Type-2 Fuzzy Logic Controllers based on a Fuzzy Lyapunov Approach.
Proceedings of the IEEE International Conference on Fuzzy Systems, 2006

2005
Application of a breeder genetic algorithm for filter optimization.
Nat. Comput., 2005

Intelligent control of a stepping motor drive using an adaptive neuro-fuzzy inference system.
Inf. Sci., 2005

Black box evolutionary mathematical modeling applied to linear systems.
Int. J. Intell. Syst., 2005

Face recognition using modular neural networks and the fuzzy Sugeno integral for response integration.
Int. J. Intell. Syst., 2005

Preface to the special issue on soft computing for modeling, simulation, and control of nonlinear dynamical systems.
Int. J. Intell. Syst., 2005

A Simulink Model for Testing Uncertainty In Type-2 Fuzzy Controllers.
Proceedings of the 2005 International Conference on Artificial Intelligence, 2005

Reducing The Cycling Problem In Evolutionary Algorithms.
Proceedings of the 2005 International Conference on Artificial Intelligence, 2005

An Intelligent System for Modeling and Simulation with Modular Neural Networks.
Proceedings of the 2005 International Conference on Artificial Intelligence, 2005

Modular Neural Networks and Fuzzy Sugeno Integrals for Time Series Prediction.
Proceedings of the 2005 International Conference on Artificial Intelligence, 2005

Handling Uncertainty in Controllers Using Type-2 Fuzzy Logic.
Proceedings of the IEEE International Conference on Fuzzy Systems, 2005

Hybrid Intelligent Systems for Pattern Recognition Using Soft Computing - An Evolutionary Approach for Neural Networks and Fuzzy Systems
Studies in Fuzziness and Soft Computing 172, Springer, ISBN: 978-3-540-24121-8, 2005

2004
Intelligent control of a stepping motor drive using a hybrid neuro-fuzzy approach.
Soft Comput., 2004

Application of a breeder genetic algorithm for finite impulse filter optimization.
Inf. Sci., 2004

A New Method for Adaptive Control of Non-Linear Plants Using Type-2 Fuzzy Logic and Neural Networks.
Int. J. General Systems, 2004

A new approach for plant monitoring using type-2 fuzzy logic and fractal theory.
Int. J. General Systems, 2004

Evolutionary Modeling Using A Wiener Model.
Proceedings of the Applied Soft Computing Technologies: The Challenge of Complexity, Proceedings of the 9th Online World Conference on Soft Computing in Industrial Applications (WSC9), September 20th, 2004

Modular Neural Networks and Fuzzy Sugeno Integral for Face and Fingerprint Recognition.
Proceedings of the Applied Soft Computing Technologies: The Challenge of Complexity, Proceedings of the 9th Online World Conference on Soft Computing in Industrial Applications (WSC9), September 20th, 2004

Evolutionary Non-Linear System Identification.
Proceedings of the International Conference on Artificial Intelligence, 2004

Modular Neural Networks with Fuzzy Sugeno Integral Response Integration for Face and Fingerprint Recognition.
Proceedings of the International Conference on Artificial Intelligence, 2004

Pattern Recognition Using Modular Neural Networks and Genetic Algorithms.
Proceedings of the International Conference on Artificial Intelligence, 2004

Adaptive noise cancellation using type-2 fuzzy logic and neural networks.
Proceedings of the IEEE International Conference on Fuzzy Systems, 2004

Fuzzy logic for plant monitoring and diagnostics.
Proceedings of the IEEE International Conference on Fuzzy Systems, 2004

2003
Soft Computing and Fractal Theory for Intelligent Manufacturing
Studies in Fuzziness and Soft Computing 117, Springer, ISBN: 978-3-662-00296-4, 2003

The evolutionary learning rule for system identification.
Appl. Soft Comput., 2003

Adaptive intelligent control of aircraft systems with a hybrid approach combining neural networks, fuzzy logic and fractal theory.
Appl. Soft Comput., 2003

Intelligent adaptive model-based control of robotic dynamic systems with a hybrid fuzzy-neural approach.
Appl. Soft Comput., 2003

Special issue on soft computing for control of non-linear dynamical systems.
Appl. Soft Comput., 2003

Intelligent control of a stepping motor drive using a hybrid neuro-fuzzy ANFIS approach.
Appl. Soft Comput., 2003

A New Approach for Intelligent Control of Non-linear Dynamic Plants using Type-2 Fuzzy Logic and Neural Networks.
Proceedings of the IASTED International Conference on Neural Networks and Computational Intelligence, 2003

Fuzzy Control for Optimizing the Transmission Power in Cellular Phones.
Proceedings of the International Conference on Artificial Intelligence, 2003

Interference Cancellation Using a Fuzzy Real Coded Evolutionary Algorithm.
Proceedings of the International Conference on Artificial Intelligence, 2003

Evolution of Modular Neural Networks for System Identification.
Proceedings of the International Conference on Artificial Intelligence, 2003

Pattern Recognition Using Fuzzy Logic and Neural Networks.
Proceedings of the International Conference on Artificial Intelligence, 2003

Plant Monitoring and Diagnostics Using Fuzzy Logic.
Proceedings of the International Conference on Artificial Intelligence, 2003

A reprogrammable hardware fuzzy controller for the battery charging process.
Proceedings of the 12th IEEE International Conference on Fuzzy Systems, 2003

A new method for adaptive model-based control of non-linear plants using type-2 fuzzy logic and neural networks.
Proceedings of the 12th IEEE International Conference on Fuzzy Systems, 2003

Soft computing and fractal theory for industrial applications.
Proceedings of the 12th IEEE International Conference on Fuzzy Systems, 2003

A new hybrid approach for plant monitoring and diagnostics using type-2 fuzzy logic and fractal theory.
Proceedings of the 12th IEEE International Conference on Fuzzy Systems, 2003

2002
Hybrid intelligent systems for time series prediction using neural networks, fuzzy logic, and fractal theory.
IEEE Trans. Neural Networks, 2002

Intelligent control of aircraft dynamic systems with a new hybrid neuro-fuzzy-fractal approach.
Inf. Sci., 2002

A hybrid fuzzy-fractal approach for time series analysis and plant monitoring.
Int. J. Intell. Syst., 2002

A Breeder Genetic Algorithm for Finite Impulse Filter Optimization.
Proceedings of the 6th Joint Conference on Information Science, 2002

Intelligent Control of a Motor Drive Using a Hybrid Neuro-Fuzzy Approach.
Proceedings of the 6th Joint Conference on Information Science, 2002

A New Theory of Fuzzy Chaos and Its application for Simulation of Robotic Dynamic Systems.
Proceedings of the 6th Joint Conference on Information Science, 2002

Fuzzy Control Embedded in a CPLD for Testing Batteries.
Proceedings of the International Conference on Artificial Intelligence, 2002

Intelligent Interface for Control of Non-Linear Plants.
Proceedings of the International Conference on Artificial Intelligence, 2002

Intelligent Control of Non-Linear Dynamic Plants Using Soft Computing.
Proceedings of the International Conference on Artificial Intelligence, 2002

Parallel Processing of Genetic Algorithms and Neural Networks for Control.
Proceedings of the International Conference on Artificial Intelligence, 2002

The Evolutionary Learning Rule for System Identification in Adaptive Finite Impulse Filters.
Proceedings of the Soft Computing Systems - Design, Management and Applications, 2002

2001
Intelligent control of complex electrochemical systems with a neuro-fuzzy-genetic approach.
IEEE Trans. Ind. Electron., 2001

A new method for adaptive model-based control of non-linear dynamic plants using a neuro-fuzzy-fractal approach.
Soft Comput., 2001

Intelligent adaptive control of nonlinear dynamical systems with a hybrid neuro-fuzzy-genetic approach.
Proceedings of the IEEE International Conference on Systems, 2001

Simulation and forecasting complex financial time series using neural networks and fuzzy logic.
Proceedings of the IEEE International Conference on Systems, 2001

Adaptive Control of a Stepping Motor Drive Using a Hybrid Neuro-Fuzzy Approach.
Proceedings of the 10th IEEE International Conference on Fuzzy Systems, 2001

A New Theory of Fuzzy Chaos and Its Application for Simulation and Control of Robotic Dynamic Systems.
Proceedings of the 10th IEEE International Conference on Fuzzy Systems, 2001

Application Of A Breeder Genetic Algorithm For System Identification In An Adaptive Finite Impulse Response Filter.
Proceedings of the 3rd NASA / DoD Workshop on Evolvable Hardware (EH 2001), 2001

2000
Intelligent simulation and forecasting of competing dynamic companies with a fuzzy-genetic approach.
Proceedings of the IEEE/IAFE/INFORMS 2000 Conference on Computational Intelligence for Financial Engineering, 2000

1999
Automated mathematical modelling, simulation and behavior identification of robotic dynamic systems using a new fuzzy-fractal-genetic approach.
Robotics Auton. Syst., 1999

Intelligent adaptive control of aircraft dynamic systems with a new neuro-fuzzy-fractal approach.
Proceedings of the International Joint Conference Neural Networks, 1999

Adaptive model-based control of robotic dynamic systems with a new neuro-fuzzy-fractal approach.
Proceedings of the International Joint Conference Neural Networks, 1999

A new method for adaptive model-based control of economic systems using a neuro-fuzzy-genetic approach: the case of international trade dynamics.
Proceedings of the IEEE/IAFE 1999 Conference on Computational Intelligence for Financial Engineering, 1999

Intelligent Mathematical Modelling and Simulation of Robotic Dynamic Systems using a New Fuzzy-Fractal-Genetic Approach.
Proceedings of the Proceedings 32nd Annual Simulation Symposium (SS '99), 1999

1998
Automated mathematical modelling and simulation of robotic dynamic systems using a new fuzzy-fractal-genetic approach.
Proceedings of the IEEE International Conference on Systems, Man and Cybernetics, 1998

A new fuzzy-genetic approach for the simulation and forecasting of international trade non-linear dynamics.
Proceedings of the IEEE/IAFE/INFORMS 1998 Conference on Computational Intelligence for Financial Engineering, 1998

1997
Simulation and forecasting of international trade dynamics using non-linear mathematical models and fuzzy logic techniques.
Proceedings of the IEEE/IAFE 1997 Computational Intelligence for Financial Engineering, 1997

1996
Automated mathematical modelling for financial time series prediction using fuzzy logic, dynamical systems and fractal theory.
Proceedings of the IEEE/IAFE 1996 Conference on Computational Intelligence for Financial Engineering, 1996

1995
QUACONTRA: Quality Control Training in the Food Industry Using an Intelligent Tutor.
Proceedings of the Eighth International Conference on Industrial and Engineering Applications of Artificial Intelligence and Expert Systems, 1995

An intelligent system for financial time series prediction combining dynamical systems theory, fractal theory, and statistical methods.
Proceedings of the IEEE/IAFE 1995 Computational Intelligence for Financial Engineering, 1995


  Loading...