Patricia Melin
Orcid: 0000-0001-5798-1426Affiliations:
- Tijuana Institute of Technology, Mexiko
- Polish Academy of Sciences, Warsaw, Poland (PhD 2007)
According to our database1,
Patricia Melin
authored at least 578 papers
between 1995 and 2024.
Collaborative distances:
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Bibliography
2024
Enhancing Dynamic Parameter Adaptation in the Bird Swarm Algorithm Using General Type-2 Fuzzy Analysis and Mathematical Functions.
Axioms, September, 2024
Interval Type-3 Fuzzy Inference System Design for Medical Classification Using Genetic Algorithms.
Axioms, January, 2024
Modular Perspective for Population and Gross National Income Time Series Prediction Using a Neural Network Model: A Case Study of OECD Member Countries.
Proceedings of the New Directions on Hybrid Intelligent Systems Based on Neural Networks, 2024
Radial Basis Function Neural Network for Time Series Prediction: The Case of Yen Currency.
Proceedings of the New Directions on Hybrid Intelligent Systems Based on Neural Networks, 2024
Proceedings of the New Directions on Hybrid Intelligent Systems Based on Neural Networks, 2024
Proceedings of the New Directions on Hybrid Intelligent Systems Based on Neural Networks, 2024
Proceedings of the New Directions on Hybrid Intelligent Systems Based on Neural Networks, 2024
Proceedings of the New Directions on Hybrid Intelligent Systems Based on Neural Networks, 2024
Proceedings of the New Directions on Hybrid Intelligent Systems Based on Neural Networks, 2024
2023
Interval Type-3 Fuzzy Aggregation for Hybrid-Hierarchical Neural Classification and Prediction Models in Decision-Making.
Axioms, October, 2023
A Type-3 Fuzzy Parameter Adjustment in Harmony Search for the Parameterization of Fuzzy Controllers.
Int. J. Fuzzy Syst., September, 2023
Interval Type-3 Fuzzy Differential Evolution for Parameterization of Fuzzy Controllers.
Int. J. Fuzzy Syst., June, 2023
Int. J. Fuzzy Syst., June, 2023
A New Interval Type-2 Fuzzy Aggregation Approach for Combining Multiple Neural Networks in Clustering and Prediction of Time Series.
Int. J. Fuzzy Syst., April, 2023
A New Perspective for Multivariate Time Series Decision Making through a Nested Computational Approach Using Type-2 Fuzzy Integration.
Axioms, April, 2023
Optimization using the firefly algorithm of ensemble neural networks with type-2 fuzzy integration for COVID-19 time series prediction.
Soft Comput., March, 2023
Int. J. Fuzzy Syst., February, 2023
Axioms, February, 2023
Soft Comput., 2023
A Methodology for Building of Interval and General Type-2 Fuzzy Systems Based on the Principle of Justifiable Granularity.
J. Multiple Valued Log. Soft Comput., 2023
2022
Studies in Fuzziness and Soft Computing 418, Springer, ISBN: 978-3-030-96514-3, 2022
Proceedings of the Computational Intelligence Methodologies Applied to Sustainable Development Goals, 2022
Fuzzy dynamic parameter adaptation in the bird swarm algorithm for neural network optimization.
Soft Comput., 2022
A methodology for building interval type-3 fuzzy systems based on the principle of justifiable granularity.
Int. J. Intell. Syst., 2022
Comparison of optimization algorithms based on swarm intelligence applied to convolutional neural networks for face recognition.
Int. J. Hybrid Intell. Syst., 2022
Hierarchical genetic optimization of convolutional neural models for diabetic retinopathy classification.
Int. J. Hybrid Intell. Syst., 2022
Interval type-3 fuzzy aggregators for ensembles of neural networks in COVID-19 time series prediction.
Eng. Appl. Artif. Intell., 2022
Eng. Appl. Artif. Intell., 2022
Ensemble Recurrent Neural Network using Genetic Algorithm applied in Times Series Prediction.
Computación y Sistemas, 2022
Adaptation of Number of Filters in the Convolution Layer of a Convolutional Neural Network Using the Fuzzy Gravitational Search Algorithm Method and Type-1 Fuzzy Logic.
Computación y Sistemas, 2022
Interval Type-2 Fuzzy Approach for Dynamic Parameter Adaptation in the Bird Swarm Algorithm for the Optimization of Fuzzy Medical Classifier.
Axioms, 2022
Design of Type-3 Fuzzy Systems and Ensemble Neural Networks for COVID-19 Time Series Prediction Using a Firefly Algorithm.
Axioms, 2022
Axioms, 2022
Interval Type-3 Fuzzy Aggregation of Neural Networks for Multiple Time Series Prediction: The Case of Financial Forecasting.
Axioms, 2022
A Hybrid Hyperheuristic Approach for the Containership Stowage Problem Considering the Ship Stability.
Proceedings of the Advances in Computational Intelligence, 2022
2021
A New Hybrid Method Based on ACO and PSO with Fuzzy Dynamic Parameter Adaptation for Modular Neural Networks Optimization.
Proceedings of the Fuzzy Logic Hybrid Extensions of Neural and Optimization Algorithms: Theory and Applications, 2021
An Improved Convolutional Neural Network Based on a Parameter Modification of the Convolution Layer.
Proceedings of the Fuzzy Logic Hybrid Extensions of Neural and Optimization Algorithms: Theory and Applications, 2021
Ensemble Recurrent Neural Networks for Complex Time Series Prediction with Integration Methods.
Proceedings of the Fuzzy Logic Hybrid Extensions of Neural and Optimization Algorithms: Theory and Applications, 2021
Estimation of the Number of Filters in the Convolution Layers of a Convolutional Neural Network Using a Fuzzy Logic System.
Proceedings of the Fuzzy Logic Hybrid Extensions of Neural and Optimization Algorithms: Theory and Applications, 2021
Genetic Optimization of Ensemble Neural Network Architectures for Prediction of COVID-19 Confirmed and Death Cases.
Proceedings of the Fuzzy Logic Hybrid Extensions of Neural and Optimization Algorithms: Theory and Applications, 2021
Proceedings of the Fuzzy Logic Hybrid Extensions of Neural and Optimization Algorithms: Theory and Applications, 2021
A new approach for classifying coronavirus COVID-19 based on its manifestation on chest X-rays using texture features and neural networks.
Inf. Sci., 2021
Optimal design of type-2 fuzzy systems for diabetes classification based on genetic algorithms.
Int. J. Hybrid Intell. Syst., 2021
An Efficient High-Order α-Plane Aggregation in General Type-2 Fuzzy Systems Using Newton-Cotes Rules.
Int. J. Fuzzy Syst., 2021
A new modular neural network approach with fuzzy response integration for lung disease classification based on multiple objective feature optimization in chest X-ray images.
Expert Syst. Appl., 2021
Towards asymmetric uncertainty modeling in designing General Type-2 Fuzzy classifiers for medical diagnosis.
Expert Syst. Appl., 2021
Optimal design of a general type-2 fuzzy classifier for the pulse level and its hardware implementation.
Eng. Appl. Artif. Intell., 2021
Differential Evolution with Shadowed and General Type-2 Fuzzy Systems for Dynamic Parameter Adaptation in Optimal Design of Fuzzy Controllers.
Axioms, 2021
Algorithms, 2021
Convolutional Neural Network Design Using a Particle Swarm Optimization for Face Recognition.
Proceedings of the Hybrid Intelligent Systems, 2021
Comparison of Image Pre-processing for Classifying Diabetic Retinopathy Using Convolutional Neural Networks.
Proceedings of the Hybrid Intelligent Systems, 2021
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
Proceedings of the Hybrid Intelligent Systems in Control, Pattern Recognition and Medicine, 2020
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
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
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
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
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
Proceedings of the Hybrid Intelligent Systems in Control, Pattern Recognition and Medicine, 2020
Designing hybrid classifiers based on general type-2 fuzzy logic and support vector machines.
Soft Comput., 2020
Toward a development of general type-2 fuzzy classifiers applied in diagnosis problems through embedded type-1 fuzzy classifiers.
Soft Comput., 2020
J. Intell. Fuzzy Syst., 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
J. Intell. Fuzzy Syst., 2020
J. Intell. Fuzzy Syst., 2020
Toward the Best Combination of Optimization with Fuzzy Systems to Obtain the Best Solution for the GA and PSO Algorithms Using Parallel Processing.
J. Autom. Mob. Robotics Intell. Syst., 2020
Optimization of Convolutional Neural Networks Using the Fuzzy Gravitational Search Algorithm.
J. Autom. Mob. Robotics Intell. Syst., 2020
Comparative study of interval Type-2 and general Type-2 fuzzy systems in medical diagnosis.
Inf. Sci., 2020
Inf. Sci., 2020
Eng. Appl. Artif. Intell., 2020
Fuzzy Parameter Adaptation in Genetic Algorithms for the Optimization of Fuzzy Integrators in Modular Neural Networks for Multimodal Biometry.
Computación y Sistemas, 2020
Toward Improving the Fuzzy KNN Algorithm Based on Takagi-Sugeno Fuzzy Inference System.
Proceedings of the Fuzzy Information Processing 2020, 2020
Optimization of Neural Network Models for Estimating the Risk of Developing Hypertension Using Bio-inspired Algorithms.
Proceedings of the Fuzzy Information Processing 2020, 2020
Optimal Design of a Fuzzy System with a Real-Coded Genetic Algorithm for Diabetes Classification.
Proceedings of the Hybrid Intelligent Systems, 2020
2019
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
J. Multiple Valued Log. Soft Comput., 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
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
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.
Complex., 2018
Optimal Design of Interval Type-2 Fuzzy Heart Rate Level Classification Systems Using the Bird Swarm Algorithm.
Algorithms, 2018
Proceedings of the Soft Computing Applications, 2018
Fuzzy System for Classification of Nocturnal Blood Pressure Profile and Its Optimization with the Crow Search Algorithm.
Proceedings of the Soft Computing Applications, 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
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
Proceedings of the Nature-Inspired Design of Hybrid Intelligent Systems, 2017
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
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
Proceedings of the Nature-Inspired Design of Hybrid Intelligent Systems, 2017
Proceedings of the Nature-Inspired Design of Hybrid Intelligent Systems, 2017
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
Proceedings of the Nature-Inspired Design of Hybrid Intelligent Systems, 2017
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
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
Soft Comput., 2017
Inf., 2017
Comparison of T-Norms and S-Norms for Interval Type-2 Fuzzy Numbers in Weight Adjustment for Neural Networks.
Inf., 2017
Fuzzy Sets Syst., 2017
Optimization of modular granular neural networks using a firefly algorithm for human recognition.
Eng. Appl. Artif. Intell., 2017
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
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
An Extension of the Fuzzy Possibilistic Clustering Algorithm Using Type-2 Fuzzy Logic Techniques.
Adv. Fuzzy Syst., 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
Proceedings of the Fuzzy Logic in Intelligent System Design, 2017
Proceedings of the Fuzzy Logic in Intelligent System Design, 2017
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
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
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
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
Quadrupedal Robot Locomotion: A Biologically Inspired Approach and Its Hardware Implementation.
Comput. Intell. Neurosci., 2016
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
Proceedings of the 2016 IEEE Symposium Series on Computational Intelligence, 2016
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
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
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
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
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
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
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
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
Proceedings of the Springer Handbook of Computational Intelligence, 2015
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
Inf. Sci., 2015
Int. J. Comb. Optim. Probl. Informatics, 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
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
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
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
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
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
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
Proceedings of the Recent Advances on Hybrid Approaches for Designing Intelligent Systems, 2014
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
Proceedings of the Recent Advances on Hybrid Approaches for Designing Intelligent Systems, 2014
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
IEEE Trans. Fuzzy Syst., 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
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
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.
Intell. Autom. Soft Comput., 2014
Intell. Autom. Soft Comput., 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
Comput. Appl. Eng. Educ., 2014
A review on type-2 fuzzy logic applications in clustering, classification and pattern recognition.
Appl. Soft Comput., 2014
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
Proceedings of the Recent Developments and New Direction in Soft-Computing Foundations and Applications, 2014
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
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
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
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
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
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
Comput. Appl. Eng. Educ., 2013
Comput. Appl. Eng. Educ., 2013
Comput. Appl. Eng. Educ., 2013
Appl. Soft Comput., 2013
Universal Approximation of a Class of Interval Type-2 Fuzzy Neural Networks in Nonlinear Identification.
Adv. Fuzzy Syst., 2013
Proceedings of the 2013 IEEE Symposium on Advances in Type-2 Fuzzy Logic Systems, 2013
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
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
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
Proceedings of the Joint IFSA World Congress and NAFIPS Annual Meeting, 2013
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
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
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
Studies in Computational Intelligence 389, Springer, ISBN: 978-3-642-24138-3, 2012
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
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
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
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
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
Appl. Soft Comput., 2011
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
Proceedings of the 2011 International Joint Conference on Neural Networks, 2011
Proceedings of the 13th Annual Genetic and Evolutionary Computation Conference, 2011
Proceedings of the Genetic Programming - 14th European Conference, 2011
2010
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
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
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
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
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
Proceedings of the Soft Computing for Recognition Based on Biometrics, 2010
Ensemble neural networks with fuzzy logic integration for complex time series prediction.
Int. J. Intell. Eng. Informatics, 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.
Int. J. Artif. Intell. Soft Comput., 2010
Preface to the special section on new trends on pattern recognition with fuzzy models.
Fuzzy Sets Syst., 2010
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
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
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
Proceedings of the Genetic and Evolutionary Computation Conference, 2010
Proceedings of the FUZZ-IEEE 2010, 2010
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
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
Proceedings of the Human-Centric Information Processing Through Granular Modelling, 2009
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
Proceedings of the Evolutionary Design of Intelligent Systems in Modeling, 2009
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
Inf. Sci., 2009
Int. J. Intell. Syst., 2009
Int. J. Intell. Syst., 2009
Comparative study of fuzzy methods for response integration in ensemble neural networks.
Int. J. Adv. Intell. Paradigms, 2009
Intell. Inf. Manag., 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
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
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
Proceedings of the Joint 2009 International Fuzzy Systems Association World Congress and 2009 European Society of Fuzzy Logic and Technology Conference, 2009
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
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
Proceedings of the Soft Computing for Hybrid Intelligent Systems, 2008
Proceedings of the Wiley Encyclopedia of Computer Science and Engineering, 2008
Trans. Comput. Sci., 2008
Soft Comput., 2008
Fingerprint recognition using the fuzzy Sugeno integral for response integration in modular neural networks.
Int. J. Gen. Syst., 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
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
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
Studies in Fuzziness and Soft Computing 223, Springer, ISBN: 978-3-540-76283-6, 2008
2007
Proceedings of the Hybrid Intelligent Systems - Analysis and Design, 2007
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
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
Proceedings of the Analysis and Design of Intelligent Systems using Soft Computing Techniques, 2007
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
Proceedings of the Analysis and Design of Intelligent Systems using Soft Computing Techniques, 2007
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
An intelligent hybrid approach for industrial quality control combining neural networks, fuzzy logic and fractal theory.
Inf. Sci., 2007
Int. J. Gen. Syst., 2007
Data Mining for extraction of fuzzy IF-THEN rules using Mamdani and Takagi-Sugeno-Kang FIS.
Eng. Lett., 2007
Eng. Lett., 2007
Third International Seminar on Computational Intelligence 2006, IEEE CIS Mexico Chapter [Family Corner].
IEEE Comput. Intell. Mag., 2007
A hybrid modular neural network architecture with fuzzy Sugeno integration for time series forecasting.
Appl. Soft Comput., 2007
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
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
Proceedings of the 2007 IEEE International Conference on Granular Computing, 2007
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
Proceedings of the FUZZ-IEEE 2007, 2007
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.
Eng. Lett., 2006
Eng. Lett., 2006
Eng. Lett., 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
Proceedings of the IEEE International Conference on Fuzzy Systems, 2006
2005
Nat. Comput., 2005
Intelligent control of a stepping motor drive using an adaptive neuro-fuzzy inference system.
Inf. Sci., 2005
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
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
Soft Comput., 2004
Inf. Sci., 2004
A New Method for Adaptive Control of Non-Linear Plants Using Type-2 Fuzzy Logic and Neural Networks.
Int. J. Gen. Syst., 2004
Int. J. Gen. Syst., 2004
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
Proceedings of the IEEE International Conference on Fuzzy Systems, 2004
Proceedings of the IEEE International Conference on Fuzzy Systems, 2004
2003
Studies in Fuzziness and Soft Computing 117, Springer, ISBN: 978-3-662-00296-4, 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
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
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
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
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
A new approach for quality control of sound speakers combining type-2 fuzzy logic and fractal theory.
Proceedings of the 2002 IEEE International Conference on Fuzzy Systems, 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
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
Controlling chaotic and unstable behavior in non-linear biochemical reactors by using a new neuro-fuzzy-fractal approach.
Proceedings of the Ninth IEEE International Conference on Fuzzy Systems, 2000
Automated simulation of robotic dynamic systems using a new fuzzy-fractal-genetic approach.
Proceedings of the Ninth IEEE International Conference on Fuzzy Systems, 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
Automated simulation of non-linear dynamical systems with a Lotka-Volterra population based approach.
Proceedings of the 2000 Congress on Evolutionary Computation, 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
A general method for automated simulation of non-linear dynamical systems using a new fuzzy-fractal-genetic approach.
Proceedings of the 1999 Congress on Evolutionary Computation, 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
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