Identification of fuzzy systems by means of an auto-tuning algorithm and its application to nonlinear systems. - Sung-Kwun Oh; Witold Pedrycz (Fuzzy Sets Syst., 2000)

Implicit rule-based fuzzy-neural networks using the identification algorithm of GA hybrid scheme based on information granulation. - Sung-Kwun Oh; Witold Pedrycz; Ho-Sung Park (Adv. Eng. Informatics, 2002)

Self-organizing neural networks with fuzzy polynomial neurons. - Sung-Kwun Oh; Witold Pedrycz; Tae-Chon Ahn (Appl. Soft Comput., 2002)

Hybrid identification of fuzzy rule-based models. - Sung-Kwun Oh; Witold Pedrycz; Byoung-Jun Park (Int. J. Intell. Syst., 2002)

Hybrid Fuzzy Polynomial Neural Networks. - Sung-Kwun Oh; Dong-Won Kim; Witold Pedrycz (Int. J. Uncertain. Fuzziness Knowl. Based Syst., 2002)

The design of self-organizing Polynomial Neural Networks. - Sung-Kwun Oh; Witold Pedrycz (Inf. Sci., 2002)

Fuzzy polynomial neural networks: hybrid architectures of fuzzy modeling. - Byoung-Jun Park; Witold Pedrycz; Sung-Kwun Oh (IEEE Trans. Fuzzy Syst., 2002)

CORBA Based Real-Time Object-Group Platform in Distributed Computing Environments. - Su-Chong Joo; Sung-Kwun Oh; Chang-Sun Shin; Jun Hwang (International Conference on Computational Science, 2003)

Self-Organizing Hybrid Neurofuzzy Networks. - Sung-Kwun Oh; Su-Chong Joo; Chang-Won Jeong; Hyun-Ki Kim (International Conference on Computational Science, 2003)

Genetically Optimized Rule-Based Fuzzy Polynomial Neural Networks: Synthesis of Computational Intelligence Technologies. - Sung-Kwun Oh; James F. Peters; Witold Pedrycz; Tae-Chon Ahn (RSFDGrC, 2003)

Polynomial neural networks architecture: analysis and design. - Sung-Kwun Oh; Witold Pedrycz; Byoung-Jun Park (Comput. Electr. Eng., 2003)

Hybrid identification in fuzzy-neural networks. - Sung-Kwun Oh; Witold Pedrycz; Ho-Sung Park (Fuzzy Sets Syst., 2003)

Fuzzy Polynomial Neuron-Based Self-Organizing Neural Networks. - Sung-Kwun Oh; Witold Pedrycz (Int. J. Gen. Syst., 2003)

Multi-FNN identification based on HCM clustering and evolutionary fuzzy granulation. - Sung-Kwun Oh; Witold Pedrycz; Ho-Sung Park (Simul. Model. Pract. Theory, 2003)

Self-organizing neurofuzzy networks based on evolutionary fuzzy granulation. - Sung-Kwun Oh; Witold Pedrycz; Byoung-Jun Park (IEEE Trans. Syst. Man Cybern. Part A, 2003)

Self-Organizing Multi-layer Fuzzy Polynomial Neural Networks Based on Genetic Optimization. - Sung-Kwun Oh; Witold Pedrycz; Hyun-Ki Kim; Jong-Beom Lee (International Conference on Computational Science, 2004)

The Design Methodology of Fuzzy Controller Based on Information Granulation (IG)-Based Optimization Approach. - Sung-Kwun Oh; Seok-Beom Roh; Dong-Yoon Lee (International Conference on Computational Science, 2004)

Information Granulation-Based Multi-layer Hybrid Fuzzy Neural Networks: Analysis and Design. - Byoung-Jun Park; Sung-Kwun Oh; Witold Pedrycz; Tae-Chon Ahn (International Conference on Computational Science, 2004)

A New Approach to Self-Organizing Polynomial Neural Networks by Means of Genetic Algorithms. - Sung-Kwun Oh; Byoung-Jun Park; Witold Pedrycz; Yong-Soo Kim (ISNN (1), 2004)

The Design of Fuzzy Controller by Means of CI Technologies-Based Estimation Technique. - Sung-Kwun Oh; Seok-Beom Roh; Dong-Yoon Lee; Sung-Whan Jang (ISNN (2), 2004)

Genetically Optimized Self-Organizing Neural Networks Based on PNs and FPNs. - Ho-Sung Park; Sung-Kwun Oh; Witold Pedrycz; Hyun-Ki Kim (ISNN (1), 2004)

A New Approach to Self-Organizing Hybrid Fuzzy Polynomial Neural Networks: Synthesis of Computational Intelligence Technologies. - Ho-Sung Park; Sung-Kwun Oh; Witold Pedrycz; Daehee Park; Yong-Kab Kim (ISNN (1), 2004)

A new approach to self-organizing multi-layer fuzzy polynomial neural networks based on genetic optimization. - Sung-Kwun Oh; Witold Pedrycz (Adv. Eng. Informatics, 2004)

The Genetic Design Of Hybrid Fuzzy Controllers. - Sung-Kwun Oh; Dae-Keun Lee; Witold Pedrycz; Dong-Hwa Kim (Cybern. Syst., 2004)

Parameter estimation of fuzzy controller and its application to inverted pendulum. - Sung-Kwun Oh; Witold Pedrycz; Seok-Beom Roh; Tae-Chon Ahn (Eng. Appl. Artif. Intell., 2004)

Self-organizing polynomial neural networks based on polynomial and fuzzy polynomial neurons: analysis and design. - Sung-Kwun Oh; Witold Pedrycz (Fuzzy Sets Syst., 2004)

Self-organizing neurofuzzy networks in modeling software data. - Sung-Kwun Oh; Witold Pedrycz; Byoung-Jun Park (Fuzzy Sets Syst., 2004)

Rule-based multi-FNN identification with the aid of evolutionary fuzzy granulation. - Sung-Kwun Oh; Witold Pedrycz; Ho-Sung Park (Knowl. Based Syst., 2004)

Relation-based neurofuzzy networks with evolutionary data granulation. - Sung-Kwun Oh; Witold Pedrycz; Byoung-Jun Park (Math. Comput. Model., 2004)

Genetically Optimized Hybrid Fuzzy Polynomial Neural Networks Based on Polynomial and Fuzzy Polynomial Neurons. - Sung-Kwun Oh; Hyun-Ki Kim (Australian Conference on Artificial Intelligence, 2005)

Evolutionally Optimized Fuzzy Neural Networks Based on Fuzzy Relation Rules and Evolutionary Data Granulation. - Sung-Kwun Oh; Hyun-Ki Kim; Seong-Whan Jang; Yong-Kab Kim (Australian Conference on Artificial Intelligence, 2005)

Design of Information Granules-Based Fuzzy Systems Using Clustering Algorithm and Genetic Optimization. - Sung-Kwun Oh; Keon-Jun Park; Witold Pedrycz; Tae-Chon Ahn (Australian Conference on Artificial Intelligence, 2005)

Genetically Optimized Hybrid Fuzzy Neural Networks Based on Simplified Fuzzy Inference Rules and Polynomial Neurons. - Sung-Kwun Oh; Byoung-Jun Park; Witold Pedrycz; Tae-Chon Ahn (International Conference on Computational Science (1), 2005)

The Design of Fuzzy Controller by Means of Evolutionary Computing and Neurofuzzy Networks. - Sung-Kwun Oh; Seok-Beom Roh (International Conference on Computational Science (3), 2005)

Genetically Dynamic Optimization Based Fuzzy Polynomial Neural Networks. - Ho-Sung Park; Sung-Kwun Oh; Witold Pedrycz; Yong-Kab Kim (International Conference on Computational Science (1), 2005)

Design of Evolutionally Optimized Rule-Based Fuzzy Neural Networks Based on Fuzzy Relation and Evolutionary Optimization. - Byoung-Jun Park; Sung-Kwun Oh; Witold Pedrycz; Hyun-Ki Kim (International Conference on Computational Science (3), 2005)

Evolutionally Optimized Fuzzy Neural Networks Based on Evolutionary Fuzzy Granulation. - Sung-Kwun Oh; Byoung-Jun Park; Witold Pedrycz; Hyun-Ki Kim (ICCSA (4), 2005)

FSPN-Based Genetically Optimized Fuzzy Polynomial Neural Networks. - Sung-Kwun Oh; Seok-Beom Roh; Daehee Park; Yong-Kab Kim (ICCSA (4), 2005)

Implementation of Brillouin-Active Fiber Based Neural Network in Smart Structures. - Yong-Kab Kim; Sunja Lim; Hwan Y. Kim; Sung-Kwun Oh; Chung Yu (ISNN (3), 2005)

Identification of ANFIS-Based Fuzzy Systems with the Aid of Genetic Optimization and Information Granulation. - Sung-Kwun Oh; Keon-Jun Park; Hyung-Soo Hwang (ISNN (1), 2005)

Genetically Optimized Hybrid Fuzzy Neural Networks Based on TSK Fuzzy Rules and Polynomial Neurons. - Sung-Kwun Oh; Byoung-Jun Park; Hyun-Ki Kim (ISNN (1), 2005)

Parameter Estimation of Fuzzy Controller Using Genetic Optimization and Neurofuzzy Networks. - Sung-Kwun Oh; Seok-Beom Roh; Tae-Chon Ahn (ISNN (3), 2005)

Design of Genetic Fuzzy Set-Based Polynomial Neural Networks with the Aid of Information Granulation. - Sung-Kwun Oh; Seok-Beom Roh; Yong-Kab Kim (ISNN (1), 2005)

Design of Rule-Based Neurofuzzy Networks by Means of Genetic Fuzzy Set-Based Granulation. - Byoung-Jun Park; Sung-Kwun Oh (ISNN (1), 2005)

Genetically Optimized Self-organizing Fuzzy Polynomial Neural Networks Based on Information Granulation. - Ho-Sung Park; Daehee Park; Sung-Kwun Oh (ISNN (1), 2005)

Identification of Fuzzy Systems with the Aid of Genetic Fuzzy Granulation. - Sung-Kwun Oh; Keon-Jun Park; Yong-Soo Kim; Tae-Chon Ahn (IWANN, 2005)

Genetically Optimized Hybrid Fuzzy Neural Networks with the Aid of TSK Fuzzy Inference Rules and Polynomial Neural Networks. - Sung-Kwun Oh; Witold Pedrycz; Hyun-Ki Kim; Yong-Kab Kim (IWANN, 2005)

IG-Based Genetically Optimized Fuzzy Polynomial Neural Networks. - Sung-Kwun Oh; Seok-Beom Roh; Witold Pedrycz; Jong-Beom Lee (IWANN, 2005)

Optimization of Fuzzy Systems Based on Fuzzy Set Using Genetic Optimization and Information Granulation. - Sung-Kwun Oh; Keon-Jun Park; Witold Pedrycz (MDAI, 2005)

Genetically Optimized Hybrid Fuzzy Neural Networks in Modeling Software Data. - Sung-Kwun Oh; Byoung-Jun Park; Witold Pedrycz; Hyun-Ki Kim (MDAI, 2005)

A New Approach to Genetically Optimized Hybrid Fuzzy Set-Based Polynomial Neural Networks with FSPNs and PNs. - Sung-Kwun Oh; Seok-Beom Roh; Witold Pedrycz (MDAI, 2005)

Genetically Dynamic Optimized Self-organizing Fuzzy Polynomial Neural Networks with Information Granulation Based FPNs. - Ho-Sung Park; Sung-Kwun Oh; Witold Pedrycz; Hyun-Ki Kim (MDAI, 2005)

Genetically Optimized Hybrid Fuzzy Set-based Polynomial Neural Networks with Polynomial and Fuzzy Polynomial Neurons. - Sung-Kwun Oh; Seok-Beom Roh; Keon-Jun Park (Int. J. Fuzzy Log. Intell. Syst., 2005)

Information Granulation-based Fuzzy Inference Systems by Means of Genetic Optimization and Polynomial Fuzzy Inference Method. - Keon-Jun Park; Young-Il Lee; Sung-Kwun Oh (Int. J. Fuzzy Log. Intell. Syst., 2005)

Multi-layer hybrid fuzzy polynomial neural networks: a design in the framework of computational intelligence. - Sung-Kwun Oh; Witold Pedrycz; Ho-Sung Park (Neurocomputing, 2005)

Identification of Fuzzy Relation Model Using HFC-Based Parallel Genetic Algorithms and Information Data Granulation. - Jeoung-Nae Choi; Sung-Kwun Oh; Hyun-Ki Kim (Australian Conference on Artificial Intelligence, 2006)

Design Methodologies of Fuzzy Set-Based Fuzzy Model Based on GAs and Information Granulation. - Sung-Kwun Oh; Keon-Jun Park; Witold Pedrycz (Australian Conference on Artificial Intelligence, 2006)

Improvement of HSOFPNN Using Evolutionary Algorithm. - Ho-Sung Park; Sung-Kwun Oh; Tae-Chon Ahn (Australian Conference on Artificial Intelligence, 2006)

Evolutionary Design of IG_gHSOFPNN with the aid of Information Granulation. - Ho-Sung Park; Witold Pedrycz; Sung-Kwun Oh (FUZZ-IEEE, 2006)

Design Methodology of Optimized IG_gHSOFPNN and Its Application to pH Neutralization Process. - Ho-Sung Park; Kyung-Won Jang; Sung-Kwun Oh; Tae-Chon Ahn (ICONIP (3), 2006)

Optimization of Self-organizing Fuzzy Polynomial Neural Networks with the Aid of Granular Computing and Evolutionary Algorithm. - Ho-Sung Park; Sung-Kwun Oh; Tae-Chon Ahn (IEA/AIE, 2006)

Design of Fuzzy Polynomial Neural Networks with the Aid of Genetic Fuzzy Granulation and Its Application to Multi-variable Process System. - Sung-Kwun Oh; In-Tae Lee; Jeoung-Nae Choi (ISNN (1), 2006)

Two-Phase Identification of ANFIS-Based Fuzzy Systems with Fuzzy Set by Means of Information Granulation and Genetic Optimization. - Sung-Kwun Oh; Keon-Jun Park; Hyun-Ki Kim (ISNN (2), 2006)

Design of Fuzzy Neural Networks Based on Genetic Fuzzy Granulation and Regression Polynomial Fuzzy Inference. - Sung-Kwun Oh; Byoung-Jun Park; Witold Pedrycz (ISNN (1), 2006)

Consecutive Identification of ANFIS-Based Fuzzy Systems with the Aid of Genetic Data Granulation. - Sung-Kwun Oh; Keon-Jun Park; Witold Pedrycz (ISNN (2), 2006)

A Novel Self-Organizing Fuzzy Polynomial Neural Networks with Evolutionary FPNs: Design and Analysis. - Ho-Sung Park; Sung-Kwun Oh; Tae-Chon Ahn (ISNN (1), 2006)

A New Design Methodology of Fuzzy Set-Based Polynomial Neural Networks with Symbolic Gene Type Genetic Algorithms. - Seok-Beom Roh; Sung-Kwun Oh; Tae-Chon Ahn (ISNN (1), 2006)

The Design of Fuzzy Controller by Means of Genetic Algorithms and NFN-Based Estimation Technique. - Sung-Kwun Oh; Jeoung-Nae Choi; Seong-Whan Jang (PRICAI, 2006)

GA-Based Polynomial Neural Networks Architecture and Its Application to Multi-variable Software Process. - Sung-Kwun Oh; Witold Pedrycz; Wan-Su Kim; Hyun-Ki Kim (PRICAI, 2006)

Optimization of Information Granulation-Oriented Fuzzy Set Model Using Hierarchical Fair Competition-Based Parallel Genetic Algorithms. - Jeoung-Nae Choi; Sung-Kwun Oh; Witold Pedrycz (RSCTC, 2006)

Methodological Identification of Information Granules-Based Fuzzy Systems by Means of Genetic Optimization. - Sung-Kwun Oh; Keon-Jun Park; Witold Pedrycz (RSCTC, 2006)

The design of self-organizing neural networks based on PNs and FPNs with the aid of genetic optimization and extended GMDH method. - Sung-Kwun Oh; Witold Pedrycz (Int. J. Approx. Reason., 2006)

Genetically Optimized Fuzzy Polynomial Neural Network and Its Application to Multi-variable Software Process. - In-Tae Lee; Sung-Kwun Oh; Hyun-Ki Kim; Witold Pedrycz (Int. J. Fuzzy Log. Intell. Syst., 2006)

Genetically optimized fuzzy polynomial neural networks with fuzzy set-based polynomial neurons. - Sung-Kwun Oh; Witold Pedrycz; Seok-Beom Roh (Inf. Sci., 2006)

Genetically Optimized Multi-Layer Fuzzy Polynomial Neural Networks: Analysis and Design. - Sung-Kwun Oh; Witold Pedrycz; Ho-Sung Park (J. Adv. Comput. Intell. Intell. Informatics, 2006)

Multi-layer self-organizing polynomial neural networks and their development with the use of genetic algorithms. - Sung-Kwun Oh; Witold Pedrycz (J. Frankl. Inst., 2006)

Fuzzy polynomial neurons as neurofuzzy processing units. - Byoung-Jun Park; Witold Pedrycz; Sung-Kwun Oh (Neural Comput. Appl., 2006)

Genetic optimization-driven multi-layer hybrid fuzzy neural networks. - Sung-Kwun Oh; Witold Pedrycz (Simul. Model. Pract. Theory, 2006)

Multilayer hybrid fuzzy neural networks: synthesis via technologies of advanced computational intelligence. - Sung-Kwun Oh; Witold Pedrycz; Byoung-Jun Park (IEEE Trans. Circuits Syst. I Regul. Pap., 2006)

Genetically optimized fuzzy polynomial neural networks. - Sung-Kwun Oh; Witold Pedrycz; Ho-Sung Park (IEEE Trans. Fuzzy Syst., 2006)

A New Approach to the Development of Genetically Optimized Multilayer Fuzzy Polynomial Neural Networks. - Sung-Kwun Oh; Witold Pedrycz; Ho-Sung Park (IEEE Trans. Ind. Electron., 2006)

Optimization of Fuzzy Model Driven to IG and HFC-Based GAs. - Jeoung-Nae Choi; Sung-Kwun Oh; Hyung-Soo Hwang (ICANNGA (1), 2007)

Fuzzy Relation-Based PNNs with the Aid of IG and Symbolic Gene Type-Based GAs. - Sung-Kwun Oh; In-Tae Lee; Hyun-Ki Kim; Seong-Whan Jang (ICANNGA (1), 2007)

Design of Fuzzy Set-Based Polynomial Neural Networks with the Aid of Symbolic Encoding and Information Granulation. - Sung-Kwun Oh; In-Tae Lee; Hyun-Ki Kim (International Conference on Computational Science (4), 2007)

Optimization of IG-Based Fuzzy System with the Aid of GAs and Its Application to Software Process. - Sung-Kwun Oh; Keon-Jun Park; Witold Pedrycz (International Conference on Computational Science (4), 2007)

Identification of Fuzzy Set-Based Fuzzy Systems by Means of Data Granulation and Genetic Optimization. - Keon-Jun Park; Sung-Kwun Oh; Hyun-Ki Kim; Witold Pedrycz; Seong-Whan Jang (ICCSA (3), 2007)

Simultaneous Optimization of ANFIS-Based Fuzzy Model Driven to Data Granulation and Parallel Genetic Algorithms. - Jeoung-Nae Choi; Sung-Kwun Oh; Kisung Seo (ISNN (3), 2007)

Design of Fuzzy Relation-Based Polynomial Neural Networks Using Information Granulation and Symbolic Gene Type Genetic Algorithms. - Sung-Kwun Oh; In-Tae Lee; Witold Pedrycz; Hyun-Ki Kim (ISNN (2), 2007)

GA-Driven Fuzzy Set-Based Polynomial Neural Networks with Information Granules for Multi-variable Software Process. - Seok-Beom Roh; Sung-Kwun Oh; Tae-Chon Ahn (ISNN (2), 2007)

Evolutionary design of hybrid self-organizing fuzzy polynomial neural networks with the aid of information granulation. - Ho-Sung Park; Witold Pedrycz; Sung-Kwun Oh (Expert Syst. Appl., 2007)

Hybrid Fuzzy Neural Networks by Means of Information Granulation and Genetic Optimization and Its Application to Software Process. - Byoung-Jun Park; Sung-Kwun Oh; Young-Il Lee (Int. J. Fuzzy Log. Intell. Syst., 2007)

IG-based genetically optimized fuzzy polynomial neural networks with fuzzy set-based polynomial neurons. - Sung-Kwun Oh; Seok-Beom Roh; Witold Pedrycz; Tae-Chon Ahn (Neurocomputing, 2007)

Identification of fuzzy systems by means of genetic optimization and data granulation. - Sung-Kwun Oh; Witold Pedrycz; Keon-Jun Park (J. Intell. Fuzzy Syst., 2007)

Structural developments of fuzzy systems with the aid of information granulation. - Sung-Kwun Oh; Witold Pedrycz; Keon-Jun Park (Simul. Model. Pract. Theory, 2007)

A genetic approach to modeling fuzzy systems based on information granulation and successive generation-based evolution method. - Keon-Jun Park; Witold Pedrycz; Sung-Kwun Oh (Simul. Model. Pract. Theory, 2007)

Genetic Optimization of Fuzzy Polynomial Neural Networks. - Seok-Beom Roh; Witold Pedrycz; Sung-Kwun Oh (IEEE Trans. Ind. Electron., 2007)

Fuzzy Relation-Based Neural Networks and Their Hybrid Identification. - Sung-Kwun Oh; Witold Pedrycz; Ho-Sung Park (IEEE Trans. Instrum. Meas., 2007)

Identification of fuzzy models using a successive tuning method with a variant identification ratio. - Jeoung-Nae Choi; Sung-Kwun Oh; Witold Pedrycz (Fuzzy Sets Syst., 2008)

Structural and parametric design of fuzzy inference systems using hierarchical fair competition-based parallel genetic algorithms and information granulation. - Jeoung-Nae Choi; Sung-Kwun Oh; Witold Pedrycz (Int. J. Approx. Reason., 2008)

A granular-oriented development of functional radial basis function neural networks. - Witold Pedrycz; Ho-Sung Park; Sung-Kwun Oh (Neurocomputing, 2008)

Simplified Fuzzy Inference Rule-Based Genetically Optimized Hybrid Fuzzy Neural Networks. - Byoung-Jun Park; Witold Pedrycz; Sung-Kwun Oh (Int. J. Uncertain. Fuzziness Knowl. Based Syst., 2008)

An approach to fuzzy granule-based hierarchical polynomial networks for empirical data modeling in software engineering. - Byoung-Jun Park; Witold Pedrycz; Sung-Kwun Oh (Inf. Softw. Technol., 2008)

The design of granular classifiers: A study in the synergy of interval calculus and fuzzy sets in pattern recognition. - Witold Pedrycz; Byoung-Jun Park; Sung-Kwun Oh (Pattern Recognit., 2008)

Genetically Optimized Hybrid Fuzzy Neural Networks: Analysis and Design of Rule-based Multi-layer Perceptron Architectures. - Sung-Kwun Oh; Witold Pedrycz (Engineering Evolutionary Intelligent Systems, 2008)

Genetically Optimized Self-organizing Neural Networks Based on Polynomial and Fuzzy Polynomial Neurons: Analysis and Design. - Sung-Kwun Oh; Witold Pedrycz (Engineering Evolutionary Intelligent Systems, 2008)

Design of interval type-2 fuzzy neural networks and their optimization using real-coded genetic algorithms. - Keon-Jun Park; Sung-Kwun Oh; Witold Pedrycz (FUZZ-IEEE, 2009)

Fuzzy Radial Basis Function Neural Networks with Information Granulation and Its Genetic Optimization. - Jeoung-Nae Choi; Young-Il Lee; Sung-Kwun Oh (ISNN (2), 2009)

Development of Design Strategy for RBF Neural Network with the Aid of Context-Based FCM. - Ho-Sung Park; Sung-Kwun Oh; Hyun-Ki Kim (ISNN (1), 2009)

Hybrid fuzzy set-based polynomial neural networks and their development with the aid of genetic optimization and information granulation. - Sung-Kwun Oh; Witold Pedrycz; Seok-Beom Roh (Appl. Soft Comput., 2009)

The design of a fuzzy cascade controller for ball and beam system: A study in optimization with the use of parallel genetic algorithms. - Sung-Kwun Oh; Han-Jong Jang; Witold Pedrycz (Eng. Appl. Artif. Intell., 2009)

Design of optimized fuzzy cascade controllers by means of Hierarchical Fair Competition-based Genetic Algorithms. - Sung-Kwun Oh; Seung-Hyun Jung; Witold Pedrycz (Expert Syst. Appl., 2009)

GA-based Feed-forward Self-organizing Neural Network Architecture and Its Applications for Multi-variable Nonlinear Process Systems. - Sung-Kwun Oh; Ho-Sung Park; Chang-Won Jeong; Su-Chong Joo (KSII Trans. Internet Inf. Syst., 2009)

A Design of Genetically Oriented Fuzzy Relation Neural Networks (FrNNs) Based on the Fuzzy Polynomial Inference Scheme. - Byoung-Jun Park; Witold Pedrycz; Sung-Kwun Oh (IEEE Trans. Fuzzy Syst., 2009)

Granular Neural Networks and Their Development Through Context-Based Clustering and Adjustable Dimensionality of Receptive Fields. - Ho-Sung Park; Witold Pedrycz; Sung-Kwun Oh (IEEE Trans. Neural Networks, 2009)

Design of Information Granulation-Based Fuzzy Radial Basis Function Neural Networks Using NSGA-II. - Jeoung-Nae Choi; Sung-Kwun Oh; Hyun-Ki Kim (ISNN (1), 2010)

A Experimental Study on Space Search Algorithm in ANFIS-Based Fuzzy Models. - Wei Huang 008; Lixin Ding; Sung-Kwun Oh (ISNN (1), 2010)

Structural Design of Optimized Polynomial Radial Basis Function Neural Networks. - Young-Hoon Kim; Hyun-Ki Kim; Sung-Kwun Oh (ISNN (1), 2010)

Optimized FCM-Based Radial Basis Function Neural Networks: A Comparative Analysis of LSE and WLSE Method. - Wook-Dong Kim; Sung-Kwun Oh; Wei Huang 008 (ISNN (1), 2010)

Genetic-Based Granular Radial Basis Function Neural Network. - Ho-Sung Park; Sung-Kwun Oh; Hyun-Ki Kim (ISNN (1), 2010)

Polynomial-based radial basis function neural networks (P-RBF NNs) and their application to pattern classification. - Byoung-Jun Park; Witold Pedrycz; Sung-Kwun Oh (Appl. Intell., 2010)

Hybrid optimization of information granulation-based fuzzy radial basis function neural networks. - Jeoung-Nae Choi; Sung-Kwun Oh; Hyun-Ki Kim (Int. J. Intell. Comput. Cybern., 2010)

The development of fuzzy radial basis function neural networks based on the concept of information ambiguity. - Seok-Beom Roh; Su-Chong Joo; Witold Pedrycz; Sung-Kwun Oh (Neurocomputing, 2010)

Identification of Fuzzy Inference System Based on Information Granulation. - Wei Huang 008; Lixin Ding; Sung-Kwun Oh; Chang-Won Jeong; Su-Chong Joo (KSII Trans. Internet Inf. Syst., 2010)

A fuzzy ensemble of parallel polynomial neural networks with information granules formed by fuzzy clustering. - Seok-Beom Roh; Sung-Kwun Oh; Witold Pedrycz (Knowl. Based Syst., 2010)

Design of Fuzzy Radial Basis Function Neural Networks with the Aid of Multi-objective Optimization Based on Simultaneous Tuning. - Wei Huang 008; Lixin Ding; Sung-Kwun Oh (ISNN (3), 2011)

Design of Information Granulation-Based Fuzzy Models with the Aid of Multi-objective Optimization and Successive Tuning Method. - Wei Huang 008; Sung-Kwun Oh; Jeong-Tae Kim (ISNN (3), 2011)

Fuzzy Clustering-Based Polynomial Radial Basis Function Neural Networks (p-RBF NNs) Classifier Designed with Particle Swarm Optimization. - Wook-Dong Kim; Sung-Kwun Oh; Hyun-Ki Kim (ISNN (1), 2011)

A comparative study of information granulation-based fuzzy inference systems developed by means of space optimization algorithm (SOA) and genetic algorithms. - Wei Huang 008; Sung-Kwun Oh; Keon-Jun Park; Yong-Kab Kim (RACS, 2011)

A design of dynamically simultaneous search GA-based fuzzy neural networks: comparative analysis of FS and FR-based rules. - Sung-Kwun Oh; Wook-Dong Kim; Byoung-Jun Park (RACS, 2011)

Design of information granule-oriented RBF neural networks and its application to power supply for high-field magnet. - Ho-Sung Park; Y.-D. Chung; Sung-Kwun Oh; Witold Pedrycz; Hyun-Ki Kim (Eng. Appl. Artif. Intell., 2011)

A comparative experimental study of type-1/type-2 fuzzy cascade controller based on genetic algorithms and particle swarm optimization. - Sung-Kwun Oh; Han-Jong Jang; Witold Pedrycz (Expert Syst. Appl., 2011)

Polynomial-based radial basis function neural networks (P-RBF NNs) realized with the aid of particle swarm optimization. - Sung-Kwun Oh; Wook-Dong Kim; Witold Pedrycz; Byoung-Jun Park (Fuzzy Sets Syst., 2011)

Design of fuzzy radial basis function-based polynomial neural networks. - Seok-Beom Roh; Sung-Kwun Oh; Witold Pedrycz (Fuzzy Sets Syst., 2011)

Genetically optimized Hybrid Fuzzy Set-based Polynomial Neural Networks. - Sung-Kwun Oh; Witold Pedrycz; Seok-Beom Roh (J. Frankl. Inst., 2011)

Optimized fuzzy PD cascade controller: A comparative analysis and design. - Sung-Kwun Oh; Han-Jong Jang; Witold Pedrycz (Simul. Model. Pract. Theory, 2011)

Fuzzy Relation-Based Polynomial Neural Networks Based on Hybrid Optimization. - Wei Huang 008; Sung-Kwun Oh (ISNN (1), 2012)

Context FCM-Based Radial Basis Function Neural Networks with the Aid of Fuzzy Clustering. - Wook-Dong Kim; Sung-Kwun Oh; Hyun-Ki Kim (ISNN (1), 2012)

Design of Optimized Radial Basis Function Neural Networks Classifier with the Aid of Fuzzy Clustering and Data Preprocessing Method. - Wook-Dong Kim; Sung-Kwun Oh; Jeong-Tae Kim (ISNN (2), 2012)

A Study on Optimized Face Recognition Algorithm Realized with the Aid of Multi-dimensional Data Preprocessing Technologies and RBFNNs. - Chang-Min Ma; Sung-Hoon Yoo; Sung-Kwun Oh (ISNN (2), 2012)

Design of Face Recognition Algorithm Using Hybrid Data Preprocessing and Polynomial-Based RBF Neural Networks. - Sung-Hoon Yoo; Sung-Kwun Oh; Kisung Seo (ISNN (2), 2012)

Design of context-FCM based RBF neural networks with the aid of data information granulation. - Sung-Kwun Oh; Wook-Dong Kim; Byoung-Jun Park (RACS, 2012)

Design of optimized cascade fuzzy controller based on differential evolution: Simulation studies and practical insights. - Sung-Kwun Oh; Wook-Dong Kim; Witold Pedrycz (Eng. Appl. Artif. Intell., 2012)

Modeling of the charging characteristic of linear-type superconducting power supply using granular-based radial basis function neural networks. - Ho-Sung Park; Witold Pedrycz; Y.-D. Chung; Sung-Kwun Oh (Expert Syst. Appl., 2012)

Analytic design of information granulation-based fuzzy radial basis function neural networks with the aid of multiobjective particle swarm optimization. - Byoung-Jun Park; Jeoung-Nae Choi; Wook-Dong Kim; Sung-Kwun Oh (Int. J. Intell. Comput. Cybern., 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. - Sung-Kwun Oh; Wook-Dong Kim; Witold Pedrycz; Su-Chong Joo (Neurocomputing, 2012)

Growing rule-based fuzzy model developed with the aid of fuzzy clustering. - W.-D. Kim; Sung-Kwun Oh; Kisung Seo; Witold Pedrycz (IFSA/NAFIPS, 2013)

A design of FCM-based interval type-2 fuzzy neural network classifier with the aid of PSO. - W.-D. Kim; Sung-Kwun Oh; Kisung Seo; Witold Pedrycz (IFSA/NAFIPS, 2013)

Design of face recognition algorithm realized with feature extraction from 2D-LDA and optimized polynomial-based RBF NNs. - Sung-Hoon Yoo; Sung-Kwun Oh; Witold Pedrycz (IFSA/NAFIPS, 2013)

A space search optimization algorithm with accelerated convergence strategies. - Wei Huang 008; Sung-Kwun Oh; Zhaolu Guo; Witold Pedrycz (Appl. Soft Comput., 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. - Sung-Kwun Oh; Sung-Hoon Yoo; Witold Pedrycz (Expert Syst. Appl., 2013)

A design of granular-oriented self-organizing hybrid fuzzy polynomial neural networks. - Sung-Kwun Oh; Wook-Dong Kim; Byoung-Jun Park; Witold Pedrycz (Neurocomputing, 2013)

A fuzzy time-dependent project scheduling problem. - Wei Huang 008; Sung-Kwun Oh; Witold Pedrycz (Inf. Sci., 2013)

The design of polynomial function-based neural network predictors for detection of software defects. - Byoung-Jun Park; Sung-Kwun Oh; Witold Pedrycz (Inf. Sci., 2013)

A new approach to radial basis function-based polynomial neural networks: analysis and design. - Sung-Kwun Oh; Ho-Sung Park; Wook-Dong Kim; Witold Pedrycz (Knowl. Inf. Syst., 2013)

Fuzzy Radial Basis Function Neural Networks with information granulation and its parallel genetic optimization. - Sung-Kwun Oh; Wook-Dong Kim; Witold Pedrycz; Kisung Seo (Fuzzy Sets Syst., 2014)

Fuzzy set-oriented neural networks based on fuzzy polynomial inference and dynamic genetic optimization. - Byoung-Jun Park; Wook-Dong Kim; Sung-Kwun Oh; Witold Pedrycz (Knowl. Inf. Syst., 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). - Wei Huang 008; Sung-Kwun Oh; Witold Pedrycz (Neural Networks, 2014)

Optimized face recognition algorithm using radial basis function neural networks and its practical applications. - Sung-Hoon Yoo; Sung-Kwun Oh; Witold Pedrycz (Neural Networks, 2015)

Design of Classification of Black Plastics Based on Fuzzy Radial Basis Fnction Neural Networks Using Raman Spectroscopy. - Jong-Soo Bae; Sung-Kwun Oh; Eun Ok Kim (SCIS&ISIS, 2016)

Polynomial Neural Network Classifiers Based on Data Preprocessing and Space Search Optimization. - Wei Huang 008; Sung-Kwun Oh; Witold Pedrycz (SCIS&ISIS, 2016)

Design of Face Recognition System Realized with the Aid of PCA-Based RBFNN. - Sun-Hwan Kim; Sung-Kwun Oh; Jin-Yul Kim (SCIS&ISIS, 2016)

Design of Interval Type-2 FCM-Based Neural Networks. - Wook-Dong Kim; Sung-Kwun Oh; Kisung Seo (SCIS&ISIS, 2016)

Design of Radial Basis Function Neural Networks with Principal Component Analysis and Linear Discriminant Analysis for Black Plastic Identification. - Seok-Beom Roh; Sung-Kwun Oh; Eun Kyu Park; Woo Zin Choi (SCIS&ISIS, 2016)

A comparative study of feature extraction methods and their application to P-RBF NNs in face recognition problem. - Sung-Kwun Oh; Sung-Hoon Yoo; Witold Pedrycz (Fuzzy Sets Syst., 2016)

Development of autofocusing algorithm based on fuzzy transforms. - Seok-Beom Roh; Sung-Kwun Oh; Witold Pedrycz; Kisung Seo (Fuzzy Sets Syst., 2016)

Design of radial basis function neural network classifier realized with the aid of data preprocessing techniques: design and analysis. - Sung-Kwun Oh; Wook-Dong Kim; Witold Pedrycz (Int. J. Gen. Syst., 2016)

Hybrid fuzzy polynomial neural networks with the aid of weighted fuzzy clustering method and fuzzy polynomial neurons. - Wei Huang 008; Sung-Kwun Oh; Witold Pedrycz (Appl. Intell., 2017)

Reinforced rule-based fuzzy models: Design and analysis. - Eun-Hu Kim; Sung-Kwun Oh; Witold Pedrycz (Knowl. Based Syst., 2017)

Fuzzy Wavelet Polynomial Neural Networks: Analysis and Design. - Wei Huang 008; Sung-Kwun Oh; Witold Pedrycz (IEEE Trans. Fuzzy Syst., 2017)

Reinforced hybrid interval fuzzy neural networks architecture: Design and analysis. - Eun-Hu Kim; Sung-Kwun Oh; Witold Pedrycz (Neurocomputing, 2018)

Design of double fuzzy clustering-driven context neural networks. - Eun-Hu Kim; Sung-Kwun Oh; Witold Pedrycz (Neural Networks, 2018)

Design of Reinforced Interval Type-2 Fuzzy C-Means-Based Fuzzy Classifier. - Eun-Hu Kim; Sung-Kwun Oh; Witold Pedrycz (IEEE Trans. Fuzzy Syst., 2018)

Identification of Black Plastics Based on Fuzzy RBF Neural Networks: Focused on Data Preprocessing Techniques Through Fourier Transform Infrared Radiation. - Seok-Beom Roh; Sung-Kwun Oh; Witold Pedrycz (IEEE Trans. Ind. Informatics, 2018)

Hybrid Fuzzy Wavelet Neural Networks Architecture Based on Polynomial Neural Networks and Fuzzy Set/Relation Inference-Based Wavelet Neurons. - Wei Huang 008; Sung-Kwun Oh; Witold Pedrycz (IEEE Trans. Neural Networks Learn. Syst., 2018)

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. - Jong-Soo Bae; Sung-Kwun Oh; Witold Pedrycz; Zunwei Fu (Appl. Intell., 2019)

Design methodology for Radial Basis Function Neural Networks classifier based on locally linear reconstruction and Conditional Fuzzy C-Means clustering. - Seok-Beom Roh; Sung-Kwun Oh; Witold Pedrycz; Kisung Seo; Zunwei Fu (Int. J. Approx. Reason., 2019)

Design of meteorological pattern classification system based on FCM-based radial basis function neural networks using meteorological radar data. - Eun-Hu Kim; Jun-Hyun Ko; Sung-Kwun Oh; Kisung Seo (Soft Comput., 2019)

Design of face recognition system based on fuzzy transform and radial basis function neural networks. - Seok-Beom Roh; Sung-Kwun Oh; Jin Hee Yoon; Kisung Seo (Soft Comput., 2019)

Robust Multi-Linear Fuzzy SVR Designed With the Aid of Fuzzy C-Means Clustering Based on Insensitive Data Information. - Zheng Wang 057; Cheng Yang 011; Sung-Kwun Oh; Zunwei Fu; Witold Pedrycz (IEEE Access, 2020)

Exponentially Weighted l_2 Regularization Strategy in Constructing Reinforced Second-order Fuzzy Rule-based Model. - Congcong Zhang; Sung-Kwun Oh; Witold Pedrycz; Zunwei Fu; Shanzhen Lu (CoRR, 2020)

Self-organized hybrid fuzzy neural networks driven with the aid of probability-based node selection and enhanced input strategy. - Congcong Zhang; Sung-Kwun Oh; Zunwei Fu; Witold Pedrycz (Neurocomputing, 2020)

Reinforced Fuzzy Clustering-Based Ensemble Neural Networks. - Eun-Hu Kim; Sung-Kwun Oh; Witold Pedrycz; Zunwei Fu (IEEE Trans. Fuzzy Syst., 2020)

Hierarchical polynomial-based fuzzy neural networks driven with the aid of hybrid network architecture and ranking-based neuron selection strategies. - Congcong Zhang; Sung-Kwun Oh; Zunwei Fu (Appl. Soft Comput., 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. - Liangliang Zhang; Sung-Kwun Oh; Witold Pedrycz; Bo Yang 001; Yamin Han (Appl. Soft Comput., 2021)

Fuzzy quasi-linear SVM classifier: Design and analysis. - Cheng Yang 011; Sung-Kwun Oh; Bo Yang 001; Witold Pedrycz; Zunwei Fu (Fuzzy Sets Syst., 2021)

Fuzzy reinforced polynomial neural networks constructed with the aid of PNN architecture and fuzzy hybrid predictor based on nonlinear function. - Wei Huang 008; Sung-Kwun Oh; Witold Pedrycz (Neurocomputing, 2021)

Design of stabilized polynomial-based ensemble fuzzy neural networks based on heterogeneous neurons and synergy of multiple techniques. - Congcong Zhang; Sung-Kwun Oh; Zunwei Fu (Inf. Sci., 2021)

Design of Fuzzy Ensemble Architecture Realized With the Aid of FCM-Based Fuzzy Partition and NN With Weighted LSE Estimation. - Seok-Beom Roh; Sung-Kwun Oh; Witold Pedrycz; Zunwei Fu (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. - Cheng Yang 011; Sung-Kwun Oh; Witold Pedrycz; Zunwei Fu; Bo Yang 001 (IEEE Trans. Fuzzy Syst., 2021)

Design of Reinforced Hybrid Fuzzy Rule-Based Neural Networks Driven to Inhomogeneous Neurons and Tournament Selection. - Congcong Zhang; Sung-Kwun Oh; Zunwei Fu; Witold Pedrycz (IEEE Trans. Fuzzy Syst., 2021)

Hierarchically Reorganized Multi-Layer Fuzzy Neural Networks Architecture Driven With the Aid of Node Selection Strategies and Structural Network Optimization. - Zheng Wang 057; Sung-Kwun Oh; Eun-Hu Kim; Zunwei Fu; Witold Pedrycz (IEEE Access, 2022)

Design of data feature-driven 1D/2D convolutional neural networks classifier for recycling black plastic wastes through laser spectroscopy. - Kun Zhou; Sung-Kwun Oh; Witold Pedrycz; Jianlong Qiu; Zunwei Fu; Byung-Gun Ryu (Adv. Eng. Informatics, 2022)

A polynomial kernel neural network classifier based on random sampling and information gain. - Yueyue Xiao; Wei Huang 008; Sung-Kwun Oh; Liehuang Zhu (Appl. Intell., 2022)

Hybrid fuzzy multiple SVM classifier through feature fusion based on convolution neural networks and its practical applications. - Cheng Yang 011; Sung-Kwun Oh; Bo Yang 001; Witold Pedrycz; Lin Wang 004 (Expert Syst. Appl., 2022)

Double iterative learning-based polynomial based-RBFNNs driven by the aid of support vector-based kernel fuzzy clustering and least absolute shrinkage deviations. - Hao Huang; Sung-Kwun Oh; Chuan-Kun Wu; Witold Pedrycz (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. - Cheng Yang 011; Zheng Wang 057; Sung-Kwun Oh; Witold Pedrycz; Bo Yang 001 (Fuzzy Sets Syst., 2022)

Reinforced fuzzy clustering-based rule model constructed with the aid of exponentially weighted ℓ2 regularization strategy and augmented random vector functional link network. - Congcong Zhang; Sung-Kwun Oh; Witold Pedrycz; Zunwei Fu; Shanzhen Lu (Fuzzy Sets Syst., 2022)

Fuzzy clustering-based neural networks modelling reinforced with the aid of support vectors-based clustering and regularization technique. - Hao Huang; Sung-Kwun Oh; Chuan-Kun Wu; Witold Pedrycz (Neurocomputing, 2022)

Design of stabilized fuzzy relation-based neural networks driven to ensemble neurons/layers and multi-optimization. - Zheng Wang 057; Sung-Kwun Oh; Witold Pedrycz; Eun-Hu Kim; Zunwei Fu (Neurocomputing, 2022)

Rapid construction of 4D high-quality microstructural image for cement hydration using partial information registration. - Liangliang Zhang; Lin Wang 004; Bo Yang 001; Sijie Niu; Yamin Han; Sung-Kwun Oh (Pattern Recognit., 2022)

Motion-blurred image restoration framework based on parameter estimation and fuzzy radial basis function neural networks. - Shengmin Zhao; Sung-Kwun Oh; Jin-Yul Kim; Zunwei Fu; Witold Pedrycz (Pattern Recognit., 2022)

A Promotive Particle Swarm Optimizer With Double Hierarchical Structures. - Liangliang Zhang; Sung-Kwun Oh; Witold Pedrycz; Bo Yang 001; Lin Wang 004 (IEEE Trans. Cybern., 2022)

Design of Reinforced Fuzzy Model Driven to Feature Selection Through Univariable-Based Correlation and Multivariable-Based Determination Coefficient Analysis. - Eun-Hu Kim; Sung-Kwun Oh; Witold Pedrycz; Zunwei Fu (IEEE Trans. Fuzzy Syst., 2022)

Design of Iterative Fuzzy Radial Basis Function Neural Networks Based on Iterative Weighted Fuzzy C-Means Clustering and Weighted LSE Estimation. - Seok-Beom Roh; Sung-Kwun Oh; Witold Pedrycz; Zheng Wang 057; Zunwei Fu; Kisung Seo (IEEE Trans. Fuzzy Syst., 2022)

Dynamically Generated Hierarchical Neural Networks Designed With the Aid of Multiple Support Vector Regressors and PNN Architecture With Probabilistic Selection. - Seok-Beom Roh; Sung-Kwun Oh; Witold Pedrycz; Zunwei Fu (IEEE Trans. Neural Networks Learn. Syst., 2022)

Data preprocessing strategy in constructing convolutional neural network classifier based on constrained particle swarm optimization with fuzzy penalty function. - Kun Zhou; Sung-Kwun Oh; Witold Pedrycz; Jianlong Qiu (Eng. Appl. Artif. Intell., 2023)

Reinforced Two-Stream Fuzzy Neural Networks Architecture Realized With the Aid of One-Dimensional/Two-Dimensional Data Features. - Kun Zhou; Sung-Kwun Oh; Jianlong Qiu; Witold Pedrycz; Kisung Seo (IEEE Trans. Fuzzy Syst., 2023)

Rule-based fuzzy neural networks realized with the aid of linear function Prototype-driven fuzzy clustering and layer Reconstruction-based network design strategy. - Sang-Beom Park; Sung-Kwun Oh; Eun-Hu Kim; Witold Pedrycz (Expert Syst. Appl., 2023)

Design of progressive fuzzy polynomial neural networks through gated recurrent unit structure and correlation/probabilistic selection strategies. - Zhen Wang 034; Sung-Kwun Oh; Zheng Wang 057; Zunwei Fu; Witold Pedrycz; Jin Hee Yoon (Fuzzy Sets Syst., 2023)

Feature data-driven-reinforced fuzzy radial basis function neural network classifier with the aid of preprocessing techniques and particle swarm optimization. - Sang-Beom Park; Sung-Kwun Oh; Witold Pedrycz (Soft Comput., 2023)

Hybrid Ensemble Polynomial Neural Network Classifier: Analysis and Design. - Mingjie Gao; Wei Huang 008; Zhilei Xu; Sung-Kwun Oh (CSCWD, 2024)

A self-organizing deep network architecture designed based on LSTM network via elitism-driven roulette-wheel selection for time-series forecasting. - Kun Zhou; Sung-Kwun Oh; Witold Pedrycz; Jianlong Qiu; Kisung Seo (Knowl. Based Syst., 2024)

Reinforced Interval Type-2 Fuzzy Clustering-Based Neural Network Realized Through Attention-Based Clustering Mechanism and Successive Learning. - Shuangrong Liu; Sung-Kwun Oh; Witold Pedrycz; Bo Yang 001; Lin Wang 004; Jin Hee Yoon (IEEE Trans. Fuzzy Syst., 2024)

Cascade AdaBoost Neural Network Classifier: Analysis and Design. - Mingjie Gao; Wei Huang 008; Shaohua Wan 001; Sung-Kwun Oh; Witold Pedrycz (J. Circuits Syst. Comput., 2024)

Incremental Fuzzy Clustering-Based Neural Networks Driven With the Aid of Dynamic Input Space Partition and Quasi-Fuzzy Local Models. - Congcong Zhang; Sung-Kwun Oh; Zunwei Fu; Witold Pedrycz (IEEE Trans. Cybern., 2024)

Design of Hierarchical Neural Networks Using Deep LSTM and Self-Organizing Dynamical Fuzzy-Neural Network Architecture. - Kun Zhou; Sung-Kwun Oh; Jianlong Qiu; Witold Pedrycz; Kisung Seo; Jin Hee Yoon (IEEE Trans. Fuzzy Syst., 2024)

Deep Fuzzy Min-Max Neural Network: Analysis and Design. - Wei Huang 008; Mingxi Sun; Liehuang Zhu; Sung-Kwun Oh; Witold Pedrycz (IEEE Trans. Neural Networks Learn. Syst., 2024)

SCINN: Semantic Concept-Based Inference Neural Networks With Explainable and Deep Fuzzy Structure. - Shuangrong Liu; Sung-Kwun Oh; Witold Pedrycz; Bo Yang 001; Lin Wang 004; Zhen Peng (IEEE Trans. Fuzzy Syst., 2024)

Fuzzy Adaptive Knowledge-Based Inference Neural Networks: Design and Analysis. - Shuangrong Liu; Sung-Kwun Oh; Witold Pedrycz; Bo Yang 001; Lin Wang 004; Kisung Seo (IEEE Trans. Cybern., 2024)

Self-Organizing Hybrid Fuzzy Polynomial Neural Network Classifier Driven Through Dynamically Adaptive Structure and Compound Regularization Technique. - Zhen Wang 034; Sung-Kwun Oh; Zunwei Fu; Witold Pedrycz; Seok-Beom Roh; Jin Hee Yoon (IEEE Trans. Fuzzy Syst., 2024)

FSCNN: Fuzzy Channel Filter-Based Separable Convolution Neural Networks for Medical Imaging Recognition. - Hao Huang; Sung-Kwun Oh; Zunwei Fu; Chuan-Kun Wu; Witold Pedrycz; Jin-Yul Kim (IEEE Trans. Fuzzy Syst., 2024)

Reinforced Fuzzy-Rule-Based Neural Networks Realized Through Streamlined Feature Selection Strategy and Fuzzy Clustering With Distance Variation. - Zheng Wang 057; Eun-Hu Kim; Sung-Kwun Oh; Witold Pedrycz; Zunwei Fu; Jin Hee Yoon (IEEE Trans. Fuzzy Syst., 2024)

Random Polynomial Neural Networks: Analysis and Design. - Wei Huang 008; Yueyue Xiao; Sung-Kwun Oh; Witold Pedrycz; Liehuang Zhu (IEEE Trans. Neural Networks Learn. Syst., 2024)

Dynamical multiple polynomial-based neural networks classifier realized with the aid of dropfilter and dual statistical selection. - Zhen Wang 034; Sung-Kwun Oh; Zunwei Fu; Seok-Beom Roh; Witold Pedrycz (Eng. Appl. Artif. Intell., 2025)

Kernel contextual fuzzy rule model based on conditional input space partitioning driven by data reconstruction in autoencoder and randomization-based neural networks. - Congcong Zhang; Sung-Kwun Oh; Zunwei Fu; Witold Pedrycz (Knowl. Based Syst., 2025)

AFS-FCM With Memory: A Model for Air Quality Multi-Dimensional Prediction With Interpretability. - Zhen Peng; Wanquan Liu; Sung-Kwun Oh (IEEE Trans. Big Data, 2025)