Sung-Kwun Oh
Orcid: 0000-0001-6798-8955
According to our database1,
Sung-Kwun Oh
authored at least 211 papers
between 2000 and 2024.
Collaborative distances:
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Bibliography
2024
Reinforced Interval Type-2 Fuzzy Clustering-Based Neural Network Realized Through Attention-Based Clustering Mechanism and Successive Learning.
IEEE Trans. Fuzzy Syst., March, 2024
2023
Feature data-driven-reinforced fuzzy radial basis function neural network classifier with the aid of preprocessing techniques and particle swarm optimization.
Soft Comput., November, 2023
Design of progressive fuzzy polynomial neural networks through gated recurrent unit structure and correlation/probabilistic selection strategies.
Fuzzy Sets Syst., October, 2023
Rule-based fuzzy neural networks realized with the aid of linear function Prototype-driven fuzzy clustering and layer Reconstruction-based network design strategy.
Expert Syst. Appl., June, 2023
Reinforced Two-Stream Fuzzy Neural Networks Architecture Realized With the Aid of One-Dimensional/Two-Dimensional Data Features.
IEEE Trans. Fuzzy Syst., March, 2023
Data preprocessing strategy in constructing convolutional neural network classifier based on constrained particle swarm optimization with fuzzy penalty function.
Eng. Appl. Artif. Intell., 2023
2022
Dynamically Generated Hierarchical Neural Networks Designed With the Aid of Multiple Support Vector Regressors and PNN Architecture With Probabilistic Selection.
IEEE Trans. Neural Networks Learn. Syst., 2022
Design of Iterative Fuzzy Radial Basis Function Neural Networks Based on Iterative Weighted Fuzzy C-Means Clustering and Weighted LSE Estimation.
IEEE Trans. Fuzzy Syst., 2022
Design of Reinforced Fuzzy Model Driven to Feature Selection Through Univariable-Based Correlation and Multivariable-Based Determination Coefficient Analysis.
IEEE Trans. Fuzzy Syst., 2022
IEEE Trans. Cybern., 2022
Motion-blurred image restoration framework based on parameter estimation and fuzzy radial basis function neural networks.
Pattern Recognit., 2022
Rapid construction of 4D high-quality microstructural image for cement hydration using partial information registration.
Pattern Recognit., 2022
Design of stabilized fuzzy relation-based neural networks driven to ensemble neurons/layers and multi-optimization.
Neurocomputing, 2022
Fuzzy clustering-based neural networks modelling reinforced with the aid of support vectors-based clustering and regularization technique.
Neurocomputing, 2022
Reinforced fuzzy clustering-based rule model constructed with the aid of exponentially weighted <i>ℓ</i><sub>2</sub> regularization strategy and augmented random vector functional link network.
Fuzzy Sets Syst., 2022
Ensemble fuzzy radial basis function neural networks architecture driven with the aid of multi-optimization through clustering techniques and polynomial-based learning.
Fuzzy Sets Syst., 2022
Double iterative learning-based polynomial based-RBFNNs driven by the aid of support vector-based kernel fuzzy clustering and least absolute shrinkage deviations.
Fuzzy Sets Syst., 2022
Hybrid fuzzy multiple SVM classifier through feature fusion based on convolution neural networks and its practical applications.
Expert Syst. Appl., 2022
A polynomial kernel neural network classifier based on random sampling and information gain.
Appl. Intell., 2022
Design of data feature-driven 1D/2D convolutional neural networks classifier for recycling black plastic wastes through laser spectroscopy.
Adv. Eng. Informatics, 2022
Hierarchically Reorganized Multi-Layer Fuzzy Neural Networks Architecture Driven With the Aid of Node Selection Strategies and Structural Network Optimization.
IEEE Access, 2022
2021
Design of Reinforced Hybrid Fuzzy Rule-Based Neural Networks Driven to Inhomogeneous Neurons and Tournament Selection.
IEEE Trans. Fuzzy Syst., 2021
Design of Reinforced Fuzzy Radial Basis Function Neural Network Classifier Driven With the Aid of Iterative Learning Techniques and Support Vector-Based Clustering.
IEEE Trans. Fuzzy Syst., 2021
Design of Fuzzy Ensemble Architecture Realized With the Aid of FCM-Based Fuzzy Partition and NN With Weighted LSE Estimation.
IEEE Trans. Fuzzy Syst., 2021
Design of stabilized polynomial-based ensemble fuzzy neural networks based on heterogeneous neurons and synergy of multiple techniques.
Inf. Sci., 2021
Fuzzy reinforced polynomial neural networks constructed with the aid of PNN architecture and fuzzy hybrid predictor based on nonlinear function.
Neurocomputing, 2021
Building fuzzy relationships between compressive strength and 3D microstructural image features for cement hydration using Gaussian mixture model-based polynomial radial basis function neural networks.
Appl. Soft Comput., 2021
Hierarchical polynomial-based fuzzy neural networks driven with the aid of hybrid network architecture and ranking-based neuron selection strategies.
Appl. Soft Comput., 2021
2020
IEEE Trans. Fuzzy Syst., 2020
Self-organized hybrid fuzzy neural networks driven with the aid of probability-based node selection and enhanced input strategy.
Neurocomputing, 2020
Exponentially Weighted l_2 Regularization Strategy in Constructing Reinforced Second-order Fuzzy Rule-based Model.
CoRR, 2020
Robust Multi-Linear Fuzzy SVR Designed With the Aid of Fuzzy C-Means Clustering Based on Insensitive Data Information.
IEEE Access, 2020
2019
Design of face recognition system based on fuzzy transform and radial basis function neural networks.
Soft Comput., 2019
Design of meteorological pattern classification system based on FCM-based radial basis function neural networks using meteorological radar data.
Soft Comput., 2019
Design methodology for Radial Basis Function Neural Networks classifier based on locally linear reconstruction and Conditional Fuzzy C-Means clustering.
Int. J. Approx. Reason., 2019
Design of fuzzy radial basis function neural network classifier based on information data preprocessing for recycling black plastic wastes: comparative studies of ATR FT-IR and Raman spectroscopy.
Appl. Intell., 2019
2018
Hybrid Fuzzy Wavelet Neural Networks Architecture Based on Polynomial Neural Networks and Fuzzy Set/Relation Inference-Based Wavelet Neurons.
IEEE Trans. Neural Networks Learn. Syst., 2018
Identification of Black Plastics Based on Fuzzy RBF Neural Networks: Focused on Data Preprocessing Techniques Through Fourier Transform Infrared Radiation.
IEEE Trans. Ind. Informatics, 2018
IEEE Trans. Fuzzy Syst., 2018
Neural Networks, 2018
Neurocomputing, 2018
2017
IEEE Trans. Fuzzy Syst., 2017
Hybrid fuzzy polynomial neural networks with the aid of weighted fuzzy clustering method and fuzzy polynomial neurons.
Appl. Intell., 2017
2016
Design of radial basis function neural network classifier realized with the aid of data preprocessing techniques: design and analysis.
Int. J. Gen. Syst., 2016
Fuzzy Sets Syst., 2016
A comparative study of feature extraction methods and their application to P-RBF NNs in face recognition problem.
Fuzzy Sets Syst., 2016
Design of Radial Basis Function Neural Networks with Principal Component Analysis and Linear Discriminant Analysis for Black Plastic Identification.
Proceedings of the 2016 Joint 8th International Conference on Soft Computing and Intelligent Systems (SCIS) and 17th International Symposium on Advanced Intelligent Systems (ISIS), 2016
Proceedings of the 2016 Joint 8th International Conference on Soft Computing and Intelligent Systems (SCIS) and 17th International Symposium on Advanced Intelligent Systems (ISIS), 2016
Proceedings of the 2016 Joint 8th International Conference on Soft Computing and Intelligent Systems (SCIS) and 17th International Symposium on Advanced Intelligent Systems (ISIS), 2016
Polynomial Neural Network Classifiers Based on Data Preprocessing and Space Search Optimization.
Proceedings of the 2016 Joint 8th International Conference on Soft Computing and Intelligent Systems (SCIS) and 17th International Symposium on Advanced Intelligent Systems (ISIS), 2016
Design of Classification of Black Plastics Based on Fuzzy Radial Basis Fnction Neural Networks Using Raman Spectroscopy.
Proceedings of the 2016 Joint 8th International Conference on Soft Computing and Intelligent Systems (SCIS) and 17th International Symposium on Advanced Intelligent Systems (ISIS), 2016
2015
Optimized face recognition algorithm using radial basis function neural networks and its practical applications.
Neural Networks, 2015
2014
Design of hybrid radial basis function neural networks (HRBFNNs) realized with the aid of hybridization of fuzzy clustering method (FCM) and polynomial neural networks (PNNs).
Neural Networks, 2014
Fuzzy set-oriented neural networks based on fuzzy polynomial inference and dynamic genetic optimization.
Knowl. Inf. Syst., 2014
Fuzzy Radial Basis Function Neural Networks with information granulation and its parallel genetic optimization.
Fuzzy Sets Syst., 2014
2013
A new approach to radial basis function-based polynomial neural networks: analysis and design.
Knowl. Inf. Syst., 2013
The design of polynomial function-based neural network predictors for detection of software defects.
Inf. Sci., 2013
A design of granular-oriented self-organizing hybrid fuzzy polynomial neural networks.
Neurocomputing, 2013
Design of face recognition algorithm using PCA -LDA combined for hybrid data pre-processing and polynomial-based RBF neural networks : Design and its application.
Expert Syst. Appl., 2013
Appl. Soft Comput., 2013
Design of face recognition algorithm realized with feature extraction from 2D-LDA and optimized polynomial-based RBF NNs.
Proceedings of the Joint IFSA World Congress and NAFIPS Annual Meeting, 2013
A design of FCM-based interval type-2 fuzzy neural network classifier with the aid of PSO.
Proceedings of the Joint IFSA World Congress and NAFIPS Annual Meeting, 2013
Proceedings of the Joint IFSA World Congress and NAFIPS Annual Meeting, 2013
2012
Design of K-means clustering-based polynomial radial basis function neural networks (pRBF NNs) realized with the aid of particle swarm optimization and differential evolution.
Neurocomputing, 2012
Analytic design of information granulation-based fuzzy radial basis function neural networks with the aid of multiobjective particle swarm optimization.
Int. J. Intell. Comput. Cybern., 2012
Modeling of the charging characteristic of linear-type superconducting power supply using granular-based radial basis function neural networks.
Expert Syst. Appl., 2012
Design of optimized cascade fuzzy controller based on differential evolution: Simulation studies and practical insights.
Eng. Appl. Artif. Intell., 2012
Design of context-FCM based RBF neural networks with the aid of data information granulation.
Proceedings of the Research in Applied Computation Symposium, 2012
Design of Face Recognition Algorithm Using Hybrid Data Preprocessing and Polynomial-Based RBF Neural Networks.
Proceedings of the Advances in Neural Networks - ISNN 2012, 2012
A Study on Optimized Face Recognition Algorithm Realized with the Aid of Multi-dimensional Data Preprocessing Technologies and RBFNNs.
Proceedings of the Advances in Neural Networks - ISNN 2012, 2012
Design of Optimized Radial Basis Function Neural Networks Classifier with the Aid of Fuzzy Clustering and Data Preprocessing Method.
Proceedings of the Advances in Neural Networks - ISNN 2012, 2012
Context FCM-Based Radial Basis Function Neural Networks with the Aid of Fuzzy Clustering.
Proceedings of the Advances in Neural Networks - ISNN 2012, 2012
Proceedings of the Advances in Neural Networks - ISNN 2012, 2012
2011
Simul. Model. Pract. Theory, 2011
J. Frankl. Inst., 2011
Fuzzy Sets Syst., 2011
Polynomial-based radial basis function neural networks (P-RBF NNs) realized with the aid of particle swarm optimization.
Fuzzy Sets Syst., 2011
A comparative experimental study of type-1/type-2 fuzzy cascade controller based on genetic algorithms and particle swarm optimization.
Expert Syst. Appl., 2011
Design of information granule-oriented RBF neural networks and its application to power supply for high-field magnet.
Eng. Appl. Artif. Intell., 2011
A design of dynamically simultaneous search GA-based fuzzy neural networks: comparative analysis of FS and FR-based rules.
Proceedings of the Research in Applied Computation Symposium, 2011
A comparative study of information granulation-based fuzzy inference systems developed by means of space optimization algorithm (SOA) and genetic algorithms.
Proceedings of the Research in Applied Computation Symposium, 2011
Fuzzy Clustering-Based Polynomial Radial Basis Function Neural Networks (p-RBF NNs) Classifier Designed with Particle Swarm Optimization.
Proceedings of the Advances in Neural Networks - ISNN 2011, 2011
Design of Information Granulation-Based Fuzzy Models with the Aid of Multi-objective Optimization and Successive Tuning Method.
Proceedings of the Advances in Neural Networks - ISNN 2011, 2011
Design of Fuzzy Radial Basis Function Neural Networks with the Aid of Multi-objective Optimization Based on Simultaneous Tuning.
Proceedings of the Advances in Neural Networks - ISNN 2011, 2011
2010
A fuzzy ensemble of parallel polynomial neural networks with information granules formed by fuzzy clustering.
Knowl. Based Syst., 2010
KSII Trans. Internet Inf. Syst., 2010
The development of fuzzy radial basis function neural networks based on the concept of information ambiguity.
Neurocomputing, 2010
Hybrid optimization of information granulation-based fuzzy radial basis function neural networks.
Int. J. Intell. Comput. Cybern., 2010
Polynomial-based radial basis function neural networks (P-RBF NNs) and their application to pattern classification.
Appl. Intell., 2010
Proceedings of the Advances in Neural Networks, 2010
Optimized FCM-Based Radial Basis Function Neural Networks: A Comparative Analysis of LSE and WLSE Method.
Proceedings of the Advances in Neural Networks, 2010
Proceedings of the Advances in Neural Networks, 2010
Proceedings of the Advances in Neural Networks, 2010
Design of Information Granulation-Based Fuzzy Radial Basis Function Neural Networks Using NSGA-II.
Proceedings of the Advances in Neural Networks, 2010
2009
Granular Neural Networks and Their Development Through Context-Based Clustering and Adjustable Dimensionality of Receptive Fields.
IEEE Trans. Neural Networks, 2009
A Design of Genetically Oriented Fuzzy Relation Neural Networks (FrNNs) Based on the Fuzzy Polynomial Inference Scheme.
IEEE Trans. Fuzzy Syst., 2009
GA-based Feed-forward Self-organizing Neural Network Architecture and Its Applications for Multi-variable Nonlinear Process Systems.
KSII Trans. Internet Inf. Syst., 2009
Design of optimized fuzzy cascade controllers by means of Hierarchical Fair Competition-based Genetic Algorithms.
Expert Syst. Appl., 2009
The design of a fuzzy cascade controller for ball and beam system: A study in optimization with the use of parallel genetic algorithms.
Eng. Appl. Artif. Intell., 2009
Hybrid fuzzy set-based polynomial neural networks and their development with the aid of genetic optimization and information granulation.
Appl. Soft Comput., 2009
Development of Design Strategy for RBF Neural Network with the Aid of Context-Based FCM.
Proceedings of the Advances in Neural Networks, 2009
Fuzzy Radial Basis Function Neural Networks with Information Granulation and Its Genetic Optimization.
Proceedings of the Advances in Neural Networks, 2009
Design of interval type-2 fuzzy neural networks and their optimization using real-coded genetic algorithms.
Proceedings of the FUZZ-IEEE 2009, 2009
2008
Genetically Optimized Self-organizing Neural Networks Based on Polynomial and Fuzzy Polynomial Neurons: Analysis and Design.
Proceedings of the Engineering Evolutionary Intelligent Systems, 2008
Genetically Optimized Hybrid Fuzzy Neural Networks: Analysis and Design of Rule-based Multi-layer Perceptron Architectures.
Proceedings of the Engineering Evolutionary Intelligent Systems, 2008
The design of granular classifiers: A study in the synergy of interval calculus and fuzzy sets in pattern recognition.
Pattern Recognit., 2008
An approach to fuzzy granule-based hierarchical polynomial networks for empirical data modeling in software engineering.
Inf. Softw. Technol., 2008
Simplified Fuzzy Inference Rule-Based Genetically Optimized Hybrid Fuzzy Neural Networks.
Int. J. Uncertain. Fuzziness Knowl. Based Syst., 2008
Neurocomputing, 2008
Structural and parametric design of fuzzy inference systems using hierarchical fair competition-based parallel genetic algorithms and information granulation.
Int. J. Approx. Reason., 2008
Identification of fuzzy models using a successive tuning method with a variant identification ratio.
Fuzzy Sets Syst., 2008
2007
IEEE Trans. Instrum. Meas., 2007
IEEE Trans. Ind. Electron., 2007
A genetic approach to modeling fuzzy systems based on information granulation and successive generation-based evolution method.
Simul. Model. Pract. Theory, 2007
Simul. Model. Pract. Theory, 2007
Identification of fuzzy systems by means of genetic optimization and data granulation.
J. Intell. Fuzzy Syst., 2007
IG-based genetically optimized fuzzy polynomial neural networks with fuzzy set-based polynomial neurons.
Neurocomputing, 2007
Hybrid Fuzzy Neural Networks by Means of Information Granulation and Genetic Optimization and Its Application to Software Process.
Int. J. Fuzzy Log. Intell. Syst., 2007
Evolutionary design of hybrid self-organizing fuzzy polynomial neural networks with the aid of information granulation.
Expert Syst. Appl., 2007
GA-Driven Fuzzy Set-Based Polynomial Neural Networks with Information Granules for Multi-variable Software Process.
Proceedings of the Advances in Neural Networks, 2007
Design of Fuzzy Relation-Based Polynomial Neural Networks Using Information Granulation and Symbolic Gene Type Genetic Algorithms.
Proceedings of the Advances in Neural Networks, 2007
Simultaneous Optimization of ANFIS-Based Fuzzy Model Driven to Data Granulation and Parallel Genetic Algorithms.
Proceedings of the Advances in Neural Networks, 2007
Identification of Fuzzy Set-Based Fuzzy Systems by Means of Data Granulation and Genetic Optimization.
Proceedings of the Computational Science and Its Applications, 2007
Optimization of IG-Based Fuzzy System with the Aid of GAs and Its Application to Software Process.
Proceedings of the Computational Science - ICCS 2007, 7th International Conference, Beijing, China, May 27, 2007
Design of Fuzzy Set-Based Polynomial Neural Networks with the Aid of Symbolic Encoding and Information Granulation.
Proceedings of the Computational Science - ICCS 2007, 7th International Conference, Beijing, China, May 27, 2007
Proceedings of the Adaptive and Natural Computing Algorithms, 8th International Conference, 2007
Proceedings of the Adaptive and Natural Computing Algorithms, 8th International Conference, 2007
2006
A New Approach to the Development of Genetically Optimized Multilayer Fuzzy Polynomial Neural Networks.
IEEE Trans. Ind. Electron., 2006
IEEE Trans. Fuzzy Syst., 2006
Multilayer hybrid fuzzy neural networks: synthesis via technologies of advanced computational intelligence.
IEEE Trans. Circuits Syst. I Regul. Pap., 2006
Simul. Model. Pract. Theory, 2006
Multi-layer self-organizing polynomial neural networks and their development with the use of genetic algorithms.
J. Frankl. Inst., 2006
Genetically Optimized Multi-Layer Fuzzy Polynomial Neural Networks: Analysis and Design.
J. Adv. Comput. Intell. Intell. Informatics, 2006
Genetically optimized fuzzy polynomial neural networks with fuzzy set-based polynomial neurons.
Inf. Sci., 2006
Genetically Optimized Fuzzy Polynomial Neural Network and Its Application to Multi-variable Software Process.
Int. J. Fuzzy Log. Intell. Syst., 2006
The design of self-organizing neural networks based on PNs and FPNs with the aid of genetic optimization and extended GMDH method.
Int. J. Approx. Reason., 2006
Methodological Identification of Information Granules-Based Fuzzy Systems by Means of Genetic Optimization.
Proceedings of the Rough Sets and Current Trends in Computing, 2006
Optimization of Information Granulation-Oriented Fuzzy Set Model Using Hierarchical Fair Competition-Based Parallel Genetic Algorithms.
Proceedings of the Rough Sets and Current Trends in Computing, 2006
GA-Based Polynomial Neural Networks Architecture and Its Application to Multi-variable Software Process.
Proceedings of the PRICAI 2006: Trends in Artificial Intelligence, 2006
The Design of Fuzzy Controller by Means of Genetic Algorithms and NFN-Based Estimation Technique.
Proceedings of the PRICAI 2006: Trends in Artificial Intelligence, 2006
A New Design Methodology of Fuzzy Set-Based Polynomial Neural Networks with Symbolic Gene Type Genetic Algorithms.
Proceedings of the Advances in Neural Networks - ISNN 2006, Third International Symposium on Neural Networks, Chengdu, China, May 28, 2006
A Novel Self-Organizing Fuzzy Polynomial Neural Networks with Evolutionary FPNs: Design and Analysis.
Proceedings of the Advances in Neural Networks - ISNN 2006, Third International Symposium on Neural Networks, Chengdu, China, May 28, 2006
Consecutive Identification of ANFIS-Based Fuzzy Systems with the Aid of Genetic Data Granulation.
Proceedings of the Advances in Neural Networks - ISNN 2006, Third International Symposium on Neural Networks, Chengdu, China, May 28, 2006
Design of Fuzzy Neural Networks Based on Genetic Fuzzy Granulation and Regression Polynomial Fuzzy Inference.
Proceedings of the Advances in Neural Networks - ISNN 2006, Third International Symposium on Neural Networks, Chengdu, China, May 28, 2006
Two-Phase Identification of ANFIS-Based Fuzzy Systems with Fuzzy Set by Means of Information Granulation and Genetic Optimization.
Proceedings of the Advances in Neural Networks - ISNN 2006, Third International Symposium on Neural Networks, Chengdu, China, May 28, 2006
Design of Fuzzy Polynomial Neural Networks with the Aid of Genetic Fuzzy Granulation and Its Application to Multi-variable Process System.
Proceedings of the Advances in Neural Networks - ISNN 2006, Third International Symposium on Neural Networks, Chengdu, China, May 28, 2006
Optimization of Self-organizing Fuzzy Polynomial Neural Networks with the Aid of Granular Computing and Evolutionary Algorithm.
Proceedings of the Advances in Applied Artificial Intelligence, 2006
Design Methodology of Optimized IG_gHSOFPNN and Its Application to pH Neutralization Process.
Proceedings of the Neural Information Processing, 13th International Conference, 2006
Proceedings of the IEEE International Conference on Fuzzy Systems, 2006
Proceedings of the AI 2006: Advances in Artificial Intelligence, 2006
Design Methodologies of Fuzzy Set-Based Fuzzy Model Based on GAs and Information Granulation.
Proceedings of the AI 2006: Advances in Artificial Intelligence, 2006
Identification of Fuzzy Relation Model Using HFC-Based Parallel Genetic Algorithms and Information Data Granulation.
Proceedings of the AI 2006: Advances in Artificial Intelligence, 2006
2005
Multi-layer hybrid fuzzy polynomial neural networks: a design in the framework of computational intelligence.
Neurocomputing, 2005
Information Granulation-based Fuzzy Inference Systems by Means of Genetic Optimization and Polynomial Fuzzy Inference Method.
Int. J. Fuzzy Log. Intell. Syst., 2005
Genetically Optimized Hybrid Fuzzy Set-based Polynomial Neural Networks with Polynomial and Fuzzy Polynomial Neurons.
Int. J. Fuzzy Log. Intell. Syst., 2005
Genetically Dynamic Optimized Self-organizing Fuzzy Polynomial Neural Networks with Information Granulation Based FPNs.
Proceedings of the Modeling Decisions for Artificial Intelligence, 2005
A New Approach to Genetically Optimized Hybrid Fuzzy Set-Based Polynomial Neural Networks with FSPNs and PNs.
Proceedings of the Modeling Decisions for Artificial Intelligence, 2005
Proceedings of the Modeling Decisions for Artificial Intelligence, 2005
Optimization of Fuzzy Systems Based on Fuzzy Set Using Genetic Optimization and Information Granulation.
Proceedings of the Modeling Decisions for Artificial Intelligence, 2005
Proceedings of the Computational Intelligence and Bioinspired Systems, 2005
Genetically Optimized Hybrid Fuzzy Neural Networks with the Aid of TSK Fuzzy Inference Rules and Polynomial Neural Networks.
Proceedings of the Computational Intelligence and Bioinspired Systems, 2005
Proceedings of the Computational Intelligence and Bioinspired Systems, 2005
Genetically Optimized Self-organizing Fuzzy Polynomial Neural Networks Based on Information Granulation.
Proceedings of the Advances in Neural Networks - ISNN 2005, Second International Symposium on Neural Networks, Chongqing, China, May 30, 2005
Design of Rule-Based Neurofuzzy Networks by Means of Genetic Fuzzy Set-Based Granulation.
Proceedings of the Advances in Neural Networks - ISNN 2005, Second International Symposium on Neural Networks, Chongqing, China, May 30, 2005
Design of Genetic Fuzzy Set-Based Polynomial Neural Networks with the Aid of Information Granulation.
Proceedings of the Advances in Neural Networks - ISNN 2005, Second International Symposium on Neural Networks, Chongqing, China, May 30, 2005
Parameter Estimation of Fuzzy Controller Using Genetic Optimization and Neurofuzzy Networks.
Proceedings of the Advances in Neural Networks - ISNN 2005, Second International Symposium on Neural Networks, Chongqing, China, May 30, 2005
Genetically Optimized Hybrid Fuzzy Neural Networks Based on TSK Fuzzy Rules and Polynomial Neurons.
Proceedings of the Advances in Neural Networks - ISNN 2005, Second International Symposium on Neural Networks, Chongqing, China, May 30, 2005
Identification of ANFIS-Based Fuzzy Systems with the Aid of Genetic Optimization and Information Granulation.
Proceedings of the Advances in Neural Networks - ISNN 2005, Second International Symposium on Neural Networks, Chongqing, China, May 30, 2005
Proceedings of the Advances in Neural Networks - ISNN 2005, Second International Symposium on Neural Networks, Chongqing, China, May 30, 2005
Proceedings of the Computational Science and Its Applications, 2005
Evolutionally Optimized Fuzzy Neural Networks Based on Evolutionary Fuzzy Granulation.
Proceedings of the Computational Science and Its Applications, 2005
Design of Evolutionally Optimized Rule-Based Fuzzy Neural Networks Based on Fuzzy Relation and Evolutionary Optimization.
Proceedings of the Computational Science, 2005
Proceedings of the Computational Science, 2005
The Design of Fuzzy Controller by Means of Evolutionary Computing and Neurofuzzy Networks.
Proceedings of the Computational Science, 2005
Genetically Optimized Hybrid Fuzzy Neural Networks Based on Simplified Fuzzy Inference Rules and Polynomial Neurons.
Proceedings of the Computational Science, 2005
Design of Information Granules-Based Fuzzy Systems Using Clustering Algorithm and Genetic Optimization.
Proceedings of the AI 2005: Advances in Artificial Intelligence, 2005
Evolutionally Optimized Fuzzy Neural Networks Based on Fuzzy Relation Rules and Evolutionary Data Granulation.
Proceedings of the AI 2005: Advances in Artificial Intelligence, 2005
Genetically Optimized Hybrid Fuzzy Polynomial Neural Networks Based on Polynomial and Fuzzy Polynomial Neurons.
Proceedings of the AI 2005: Advances in Artificial Intelligence, 2005
2004
Math. Comput. Model., 2004
Knowl. Based Syst., 2004
Fuzzy Sets Syst., 2004
Self-organizing polynomial neural networks based on polynomial and fuzzy polynomial neurons: analysis and design.
Fuzzy Sets Syst., 2004
Eng. Appl. Artif. Intell., 2004
A new approach to self-organizing multi-layer fuzzy polynomial neural networks based on genetic optimization.
Adv. Eng. Informatics, 2004
A New Approach to Self-Organizing Hybrid Fuzzy Polynomial Neural Networks: Synthesis of Computational Intelligence Technologies.
Proceedings of the Advances in Neural Networks, 2004
Proceedings of the Advances in Neural Networks, 2004
The Design of Fuzzy Controller by Means of CI Technologies-Based Estimation Technique.
Proceedings of the Advances in Neural Networks, 2004
A New Approach to Self-Organizing Polynomial Neural Networks by Means of Genetic Algorithms.
Proceedings of the Advances in Neural Networks, 2004
Information Granulation-Based Multi-layer Hybrid Fuzzy Neural Networks: Analysis and Design.
Proceedings of the Computational Science, 2004
The Design Methodology of Fuzzy Controller Based on Information Granulation (IG)-Based Optimization Approach.
Proceedings of the Computational Science, 2004
Self-Organizing Multi-layer Fuzzy Polynomial Neural Networks Based on Genetic Optimization.
Proceedings of the Computational Science, 2004
2003
IEEE Trans. Syst. Man Cybern. Part A, 2003
Simul. Model. Pract. Theory, 2003
Int. J. Gen. Syst., 2003
Comput. Electr. Eng., 2003
Genetically Optimized Rule-Based Fuzzy Polynomial Neural Networks: Synthesis of Computational Intelligence Technologies.
Proceedings of the Rough Sets, 2003
Proceedings of the Computational Science - ICCS 2003, 2003
Proceedings of the Computational Science - ICCS 2003, 2003
2002
IEEE Trans. Fuzzy Syst., 2002
Int. J. Uncertain. Fuzziness Knowl. Based Syst., 2002
Appl. Soft Comput., 2002
Implicit rule-based fuzzy-neural networks using the identification algorithm of GA hybrid scheme based on information granulation.
Adv. Eng. Informatics, 2002
2000
Identification of fuzzy systems by means of an auto-tuning algorithm and its application to nonlinear systems.
Fuzzy Sets Syst., 2000