| 2008 |
|---|
| 19 | EE | Witold Pedrycz,
Ho-Sung Park,
Sung-Kwun Oh:
A granular-oriented development of functional radial basis function neural networks.
Neurocomputing 72(1-3): 420-435 (2008) |
| 2007 |
|---|
| 18 | EE | Ho-Sung Park,
Witold Pedrycz,
Sung-Kwun Oh:
Evolutionary design of hybrid self-organizing fuzzy polynomial neural networks with the aid of information granulation.
Expert Syst. Appl. 33(4): 830-846 (2007) |
| 2006 |
|---|
| 17 | EE | Ho-Sung Park,
Sung-Kwun Oh,
Tae-Chon Ahn:
Improvement of HSOFPNN Using Evolutionary Algorithm.
Australian Conference on Artificial Intelligence 2006: 818-825 |
| 16 | EE | Ho-Sung Park,
Tae-Chon Ahn:
The Analysis and Design of IG_gHSOFPNN by Evolutionary Optimization.
FSKD 2006: 231-240 |
| 15 | EE | Ho-Sung Park,
Kyung-Won Jang,
Sung-Kwun Oh,
Tae-Chon Ahn:
Design Methodology of Optimized IG_gHSOFPNN and Its Application to pH Neutralization Process.
ICONIP (3) 2006: 1079-1086 |
| 14 | EE | Tae-Chon Ahn,
Ho-Sung Park:
Evolutionary Design of gdSOFPNN for Modeling and Prediction of NOx Emission Process.
IDEAL 2006: 133-138 |
| 13 | EE | Ho-Sung Park,
Sung-Kwun Oh,
Tae-Chon Ahn:
Optimization of Self-organizing Fuzzy Polynomial Neural Networks with the Aid of Granular Computing and Evolutionary Algorithm.
IEA/AIE 2006: 472-477 |
| 12 | EE | Ho-Sung Park,
Sung-Kwun Oh,
Tae-Chon Ahn:
A Novel Self-Organizing Fuzzy Polynomial Neural Networks with Evolutionary FPNs: Design and Analysis.
ISNN (1) 2006: 780-785 |
| 11 | EE | Sung-Kwun Oh,
Witold Pedrycz,
Ho-Sung Park:
Genetically optimized fuzzy polynomial neural networks.
IEEE T. Fuzzy Systems 14(1): 125-144 (2006) |
| 10 | EE | Sung-Kwun Oh,
Witold Pedrycz,
Ho-Sung Park:
Genetically Optimized Multi-Layer Fuzzy Polynomial Neural Networks: Analysis and Design.
JACIII 10(1): 35-49 (2006) |
| 2005 |
|---|
| 9 | EE | Ho-Sung Park,
Daehee Park,
Sung-Kwun Oh:
Genetically Optimized Self-organizing Fuzzy Polynomial Neural Networks Based on Information Granulation.
ISNN (1) 2005: 410-415 |
| 8 | EE | Ho-Sung Park,
Sung-Kwun Oh,
Witold Pedrycz,
Yongkab Kim:
Genetically Dynamic Optimization Based Fuzzy Polynomial Neural Networks.
International Conference on Computational Science (1) 2005: 792-797 |
| 7 | EE | Ho-Sung Park,
Sung-Kwun Oh,
Witold Pedrycz,
Hyun-Ki Kim:
Genetically Dynamic Optimized Self-organizing Fuzzy Polynomial Neural Networks with Information Granulation Based FPNs.
MDAI 2005: 346-353 |
| 6 | EE | Sung-Kwun Oh,
Witold Pedrycz,
Ho-Sung Park:
Multi-layer hybrid fuzzy polynomial neural networks: a design in the framework of computational intelligence.
Neurocomputing 64: 397-431 (2005) |
| 2004 |
|---|
| 5 | EE | Ho-Sung Park,
Sung-Kwun Oh,
Witold Pedrycz,
Hyun-Ki Kim:
Genetically Optimized Self-Organizing Neural Networks Based on PNs and FPNs.
ISNN (1) 2004: 156-161 |
| 4 | EE | Ho-Sung Park,
Sung-Kwun Oh,
Witold Pedrycz,
Daehee Park,
Yongkab Kim:
A New Approach to Self-Organizing Hybrid Fuzzy Polynomial Neural Networks: Synthesis of Computational Intelligence Technologies.
ISNN (1) 2004: 162-167 |
| 3 | EE | Sung-Kwun Oh,
Witold Pedrycz,
Ho-Sung Park:
Rule-based multi-FNN identification with the aid of evolutionary fuzzy granulation.
Knowl.-Based Syst. 17(1): 1-13 (2004) |
| 2003 |
|---|
| 2 | EE | Sung-Kwun Oh,
Witold Pedrycz,
Ho-Sung Park:
Hybrid identification in fuzzy-neural networks.
Fuzzy Sets and Systems 138(2): 399-426 (2003) |
| 2002 |
|---|
| 1 | EE | Sung-Kwun Oh,
Witold Pedrycz,
Ho-Sung Park:
Implicit rule-based fuzzy-neural networks using the identification algorithm of GA hybrid scheme based on information granulation.
Advanced Engineering Informatics 16(4): 247-263 (2002) |
