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)

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)

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)

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)

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

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

An Advanced Design Methodology of Fuzzy Set-Based Polynomial Neural Networks with the Aid of Symbolic Gene Type Genetic Algorithms and Information Granulation. - Seok-Beom Roh; Hyung-Soo Hwang; Tae-Chon Ahn (ICONIP (3), 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)

Genetically Optimized Fuzzy Set-Based Polynomial Neural Networks Based on Information Granules with Aids of Symbolic Genetic Algorithms. - Tae-Chon Ahn; Kyung-Won Jang; Seok-Beom Roh (KES (3), 2006)

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

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)

Fuzzy Combined Polynomial Neural Networks. - Seok-Beom Roh; Tae-Chon Ahn (KES (3), 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)

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

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 methodology of radial basis function neural networks based on fuzzy K-nearest neighbors approach. - Seok-Beom Roh; Tae-Chon Ahn; Witold Pedrycz (Fuzzy Sets Syst., 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)

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)

The Refinement of Models With the Aid of the Fuzzy k -Nearest Neighbors Approach. - Seok-Beom Roh; Tae-Chon Ahn; Witold Pedrycz (IEEE Trans. Instrum. Meas., 2010)

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

Fuzzy Learning Vector Quantization based on Fuzzy k-Nearest Neighbor Prototypes. - Seok-Beom Roh; Ji-Won Jeong; Tae-Chon Ahn (Int. J. Fuzzy Log. Intell. Syst., 2011)

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

Fuzzy linear regression based on Polynomial Neural Networks. - Seok-Beom Roh; Tae-Chon Ahn; Witold Pedrycz (Expert Syst. Appl., 2012)

A design of granular fuzzy classifier. - Seok-Beom Roh; Witold Pedrycz; Tae-Chon Ahn (Expert Syst. Appl., 2014)

Design of Radial Basis Function Classifier Based on Polynomial Neural Networks. - Tae-Chon Ahn; Seok-Beom Roh; Zi Long Yin; Yong-Soo Kim (Soft Computing in Artificial Intelligence, 2014)

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)

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

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)

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)

Prototypes Reduction and Feature Selection based on Fuzzy Boundary Area for Nearest Neighbor Classifiers. - Tae-Chon Ahn; Seok-Beom Roh; Yong-Soo Kim; Jihong Wang (Int. J. Fuzzy Syst., 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)

Lazy Learning for Nonparametric Locally Weighted Regression. - Seok-Beom Roh; Yong-Soo Kim; Tae-Chon Ahn (Int. J. Fuzzy Log. Intell. Syst., 2020)

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 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)

Toward Symbolic Regression based Model Transform for Convolutional Neural Network. - Kisung Seo; Seok-Beom Roh; Soonyong Gwon (GECCO Companion, 2023)

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)

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)