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 | 265 | 2000 |
The design of self-organizing polynomial neural networks SK Oh, W Pedrycz Information Sciences 141 (3-4), 237-258, 2002 | 253 | 2002 |
Polynomial neural networks architecture: analysis and design SK Oh, W Pedrycz, BJ Park Computers & Electrical Engineering 29 (6), 703-725, 2003 | 248 | 2003 |
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 | 227 | 2011 |
Hybrid identification in fuzzy-neural networks SK Oh, W Pedrycz, HS Park Fuzzy sets and systems 138 (2), 399-426, 2003 | 129 | 2003 |
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 | 125 | 2011 |
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 | 109 | 2002 |
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 | 89 | 2013 |
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 | 89 | 2004 |
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 | 88 | 2001 |
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 | 78 | 2012 |
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 | 77 | 2013 |
A granular-oriented development of functional radial basis function neural networks W Pedrycz, HS Park, SK Oh Neurocomputing 72 (1-3), 420-435, 2008 | 75 | 2008 |
Fuzzy polynomial neuron-based self-organizing neural networks SK Oh, W Pedrycz International Journal of General Systems 32 (3), 237-250, 2003 | 75 | 2003 |
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 | 68 | 2009 |
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 | 67 | 2017 |
Fuzzy wavelet polynomial neural networks: Analysis and design W Huang, SK Oh, W Pedrycz IEEE Transactions on Fuzzy Systems 25 (5), 1329-1341, 2016 | 67 | 2016 |
Design of reinforced interval type-2 fuzzy c-means-based fuzzy classifier EH Kim, SK Oh, W Pedrycz IEEE Transactions on Fuzzy Systems 26 (5), 3054-3068, 2017 | 66 | 2017 |
Self-organizing neurofuzzy networks in modeling software data SK Oh, W Pedrycz, BJ Park Fuzzy Sets and Systems 145 (1), 165-181, 2004 | 66 | 2004 |
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) W Huang, SK Oh, W Pedrycz Neural Networks 60, 166-181, 2014 | 63 | 2014 |