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Sung-Kwun Oh
Sung-Kwun Oh
Professor of Electrical Engineering, Suwon University
Verified email at suwon.ac.kr
Title
Cited by
Cited by
Year
Identification of fuzzy systems by means of an auto-tuning algorithm and its application to nonlinear systems
S Oh, W Pedrycz
Fuzzy sets and Systems 115 (2), 205-230, 2000
2652000
The design of self-organizing polynomial neural networks
SK Oh, W Pedrycz
Information Sciences 141 (3-4), 237-258, 2002
2502002
Polynomial neural networks architecture: analysis and design
SK Oh, W Pedrycz, BJ Park
Computers & Electrical Engineering 29 (6), 703-725, 2003
2412003
Polynomial-based radial basis function neural networks (P-RBF NNs) realized with the aid of particle swarm optimization
SK Oh, WD Kim, W Pedrycz, BJ Park
Fuzzy Sets and Systems 163 (1), 54-77, 2011
2242011
Hybrid identification in fuzzy-neural networks
SK Oh, W Pedrycz, HS Park
Fuzzy sets and systems 138 (2), 399-426, 2003
1282003
A comparative experimental study of type-1/type-2 fuzzy cascade controller based on genetic algorithms and particle swarm optimization
SK Oh, HJ Jang, W Pedrycz
Expert Systems with Applications 38 (9), 11217-11229, 2011
1232011
Fuzzy polynomial neural networks: hybrid architectures of fuzzy modeling
BJ Park, W Pedrycz, SK Oh
IEEE Transactions on Fuzzy Systems 10 (5), 607-621, 2002
1072002
Parameter estimation of fuzzy controller and its application to inverted pendulum
SK Oh, W Pedrycz, SB Rho, TC Ahn
Engineering Applications of Artificial Intelligence 17 (1), 37-60, 2004
892004
Identification of fuzzy models with the aid of evolutionary data granulation
BJ Park, W Pedrycz, SK Oh
IEE Proceedings-Control Theory and Applications 148 (5), 406-418, 2001
882001
Design of face recognition algorithm using PCA-LDA combined for hybrid data pre-processing and polynomial-based RBF neural networks: Design and its application
SK Oh, SH Yoo, W Pedrycz
Expert Systems with Applications 40 (5), 1451-1466, 2013
852013
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
SK Oh, WD Kim, W Pedrycz, SC Joo
Neurocomputing 78 (1), 121-132, 2012
762012
The design of polynomial function-based neural network predictors for detection of software defects
BJ Park, SK Oh, W Pedrycz
Information Sciences 229, 40-57, 2013
752013
A granular-oriented development of functional radial basis function neural networks
W Pedrycz, HS Park, SK Oh
Neurocomputing 72 (1-3), 420-435, 2008
752008
Fuzzy polynomial neuron-based self-organizing neural networks
SK Oh, W Pedrycz
International Journal of General Systems 32 (3), 237-250, 2003
752003
The design of a fuzzy cascade controller for ball and beam system: A study in optimization with the use of parallel genetic algorithms
SK Oh, HJ Jang, W Pedrycz
Engineering Applications of Artificial Intelligence 22 (2), 261-271, 2009
682009
Fuzzy wavelet polynomial neural networks: Analysis and design
W Huang, SK Oh, W Pedrycz
IEEE Transactions on Fuzzy Systems 25 (5), 1329-1341, 2016
652016
Self-organizing neurofuzzy networks in modeling software data
SK Oh, W Pedrycz, BJ Park
Fuzzy Sets and Systems 145 (1), 165-181, 2004
652004
Optimized face recognition algorithm using radial basis function neural networks and its practical applications
SH Yoo, SK Oh, W Pedrycz
Neural Networks 69, 111-125, 2015
622015
Genetically optimized fuzzy polynomial neural networks
SK Oh, W Pedrycz, HS Park
IEEE Transactions on Fuzzy Systems 14 (1), 125-144, 2006
622006
Hybrid fuzzy wavelet neural networks architecture based on polynomial neural networks and fuzzy set/relation inference-based wavelet neurons
W Huang, SK Oh, W Pedrycz
IEEE transactions on neural networks and learning systems 29 (8), 3452-3462, 2017
612017
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