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Wook-Dong Kim
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2010 – 2019
- 2016
- [j9]Sung-Kwun Oh, Wook-Dong Kim, Witold Pedrycz:
Design of radial basis function neural network classifier realized with the aid of data preprocessing techniques: design and analysis. Int. J. Gen. Syst. 45(4): 434-454 (2016) - [c7]Wook-Dong Kim, Sung-Kwun Oh, Kisung Seo:
Design of Interval Type-2 FCM-Based Neural Networks. SCIS&ISIS 2016: 759-763 - 2014
- [j8]Sung-Kwun Oh, Wook-Dong Kim, Witold Pedrycz, Kisung Seo:
Fuzzy Radial Basis Function Neural Networks with information granulation and its parallel genetic optimization. Fuzzy Sets Syst. 237: 96-117 (2014) - [j7]Byoung-Jun Park, Wook-Dong Kim, Sung-Kwun Oh, Witold Pedrycz:
Fuzzy set-oriented neural networks based on fuzzy polynomial inference and dynamic genetic optimization. Knowl. Inf. Syst. 39(1): 207-240 (2014) - 2013
- [j6]Sung-Kwun Oh, Wook-Dong Kim, Byoung-Jun Park, Witold Pedrycz:
A design of granular-oriented self-organizing hybrid fuzzy polynomial neural networks. Neurocomputing 119: 292-307 (2013) - [j5]Sung-Kwun Oh, Ho-Sung Park, Wook-Dong Kim, Witold Pedrycz:
A new approach to radial basis function-based polynomial neural networks: analysis and design. Knowl. Inf. Syst. 36(1): 121-151 (2013) - 2012
- [j4]Sung-Kwun Oh, Wook-Dong Kim, Witold Pedrycz:
Design of optimized cascade fuzzy controller based on differential evolution: Simulation studies and practical insights. Eng. Appl. Artif. Intell. 25(3): 520-532 (2012) - [j3]Byoung-Jun Park, Jeoung-Nae Choi, Wook-Dong Kim, Sung-Kwun Oh:
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. 5(1): 4-35 (2012) - [j2]Sung-Kwun Oh, Wook-Dong Kim, Witold Pedrycz, Su-Chong Joo:
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 78(1): 121-132 (2012) - [c6]Wook-Dong Kim, Sung-Kwun Oh, Hyun-Ki Kim:
Context FCM-Based Radial Basis Function Neural Networks with the Aid of Fuzzy Clustering. ISNN (1) 2012: 21-28 - [c5]Wook-Dong Kim, Sung-Kwun Oh, Jeong-Tae Kim:
Design of Optimized Radial Basis Function Neural Networks Classifier with the Aid of Fuzzy Clustering and Data Preprocessing Method. ISNN (2) 2012: 38-45 - [c4]Sung-Kwun Oh, Wook-Dong Kim, Byoung-Jun Park:
Design of context-FCM based RBF neural networks with the aid of data information granulation. RACS 2012: 20-25 - 2011
- [j1]Sung-Kwun Oh, Wook-Dong Kim, Witold Pedrycz, Byoung-Jun Park:
Polynomial-based radial basis function neural networks (P-RBF NNs) realized with the aid of particle swarm optimization. Fuzzy Sets Syst. 163(1): 54-77 (2011) - [c3]Wook-Dong Kim, Sung-Kwun Oh, Hyun-Ki Kim:
Fuzzy Clustering-Based Polynomial Radial Basis Function Neural Networks (p-RBF NNs) Classifier Designed with Particle Swarm Optimization. ISNN (1) 2011: 464-473 - [c2]Sung-Kwun Oh, Wook-Dong Kim, Byoung-Jun Park:
A design of dynamically simultaneous search GA-based fuzzy neural networks: comparative analysis of FS and FR-based rules. RACS 2011: 319-324 - 2010
- [c1]Wook-Dong Kim, Sung-Kwun Oh, Wei Huang:
Optimized FCM-Based Radial Basis Function Neural Networks: A Comparative Analysis of LSE and WLSE Method. ISNN (1) 2010: 207-214
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