2007 |
23 | EE | Zhong-Xian Wang,
Tae-Chon Ahn:
Design of Adaptive Fuzzy-PI Control with the Aid of Rough Set Theory and Its Application to a HVDC System.
ICIC (1) 2007: 433-444 |
22 | EE | Seok-Beom Roh,
Sung-Kwun Oh,
Tae-Chon Ahn:
GA-Driven Fuzzy Set-Based Polynomial Neural Networks with Information Granules for Multi-variable Software Process.
ISNN (2) 2007: 186-195 |
21 | EE | Seok-Beom Roh,
Tae-Chon Ahn:
Fuzzy Combined Polynomial Neural Networks.
KES (3) 2007: 49-56 |
20 | EE | Sung-Kwun Oh,
Seok-Beom Roh,
Witold Pedrycz,
Tae-Chon Ahn:
IG-based genetically optimized fuzzy polynomial neural networks with fuzzy set-based polynomial neurons.
Neurocomputing 70(16-18): 2783-2798 (2007) |
2006 |
19 | EE | Ho-Sung Park,
Sung-Kwun Oh,
Tae-Chon Ahn:
Improvement of HSOFPNN Using Evolutionary Algorithm.
Australian Conference on Artificial Intelligence 2006: 818-825 |
18 | EE | Ho-Sung Park,
Tae-Chon Ahn:
The Analysis and Design of IG_gHSOFPNN by Evolutionary Optimization.
FSKD 2006: 231-240 |
17 | 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 |
16 | EE | Seok-Beom Roh,
Hyung-Soo Hwang,
Tae-Chon Ahn:
An Advanced Design Methodology of Fuzzy Set-Based Polynomial Neural Networks with the Aid of Symbolic Gene Type Genetic Algorithms and Information Granulation.
ICONIP (3) 2006: 993-1001 |
15 | EE | Tae-Chon Ahn,
Ho-Sung Park:
Evolutionary Design of gdSOFPNN for Modeling and Prediction of NOx Emission Process.
IDEAL 2006: 133-138 |
14 | 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 |
13 | EE | Seok-Beom Roh,
Sung-Kwun Oh,
Tae-Chon Ahn:
A New Design Methodology of Fuzzy Set-Based Polynomial Neural Networks with Symbolic Gene Type Genetic Algorithms.
ISNN (1) 2006: 768-773 |
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 | Zhong-Xian Wang,
Jueng-je Yang,
Tae-Chon Ahn:
The Design of Self-tuning Strategy of Genetically Optimized Fuzzy-PI Controller for HVDC System.
KES (1) 2006: 52-59 |
10 | EE | Tae-Chon Ahn,
Kyung-Won Jang,
Seok-Beom Roh:
Genetically Optimized Fuzzy Set-Based Polynomial Neural Networks Based on Information Granules with Aids of Symbolic Genetic Algorithms.
KES (3) 2006: 219-224 |
2005 |
9 | EE | Sung-Kwun Oh,
Keon-Jun Park,
Witold Pedrycz,
Tae-Chon Ahn:
Design of Information Granules-Based Fuzzy Systems Using Clustering Algorithm and Genetic Optimization.
Australian Conference on Artificial Intelligence 2005: 1142-1145 |
8 | EE | Sung-Kwun Oh,
Seok-Beom Roh,
Tae-Chon Ahn:
Parameter Estimation of Fuzzy Controller Using Genetic Optimization and Neurofuzzy Networks.
ISNN (3) 2005: 107-112 |
7 | EE | Sung-Kwun Oh,
Keon-Jun Park,
Yong-Soo Kim,
Tae-Chon Ahn:
Identification of Fuzzy Systems with the Aid of Genetic Fuzzy Granulation.
IWANN 2005: 391-398 |
6 | EE | Sung-Kwun Oh,
Byoung-Jun Park,
Witold Pedrycz,
Tae-Chon Ahn:
Genetically Optimized Hybrid Fuzzy Neural Networks Based on Simplified Fuzzy Inference Rules and Polynomial Neurons.
International Conference on Computational Science (1) 2005: 798-803 |
2004 |
5 | EE | Byoung-Jun Park,
Sung-Kwun Oh,
Witold Pedrycz,
Tae-Chon Ahn:
Information Granulation-Based Multi-layer Hybrid Fuzzy Neural Networks: Analysis and Design.
International Conference on Computational Science 2004: 188-195 |
2003 |
4 | EE | Sung-Kwun Oh,
James F. Peters,
Witold Pedrycz,
Tae-Chon Ahn:
Genetically Optimized Rule-Based Fuzzy Polynomial Neural Networks: Synthesis of Computational Intelligence Technologies.
RSFDGrC 2003: 437-444 |
2002 |
3 | EE | Sheela Ramanna,
James F. Peters,
Tae-Chon Ahn:
Software Quality Knowledge Discovery: A Rough Set Approach.
COMPSAC 2002: 1140-1145 |
2 | EE | James F. Peters,
Tae-Chon Ahn,
Maciej Borkowski:
Obstacle Classification by a Line-Crawling Robot: A Rough Neurocomputing Approach.
Rough Sets and Current Trends in Computing 2002: 594-601 |
1 | EE | Sung-Kwun Oh,
Witold Pedrycz,
Tae-Chon Ahn:
Self-organizing neural networks with fuzzy polynomial neurons.
Appl. Soft Comput. 2(1): 1-10 (2002) |