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Tae-Chon Ahn: [Publications] [Author Rank by year] [Co-authors] [Prefers] [Cites] [Cited by]

Publications of Author

  1. Sung-Kwun Oh, Keon-Jun Park, Witold Pedrycz, Tae-Chon Ahn
    Design of Information Granules-Based Fuzzy Systems Using Clustering Algorithm and Genetic Optimization. [Citation Graph (0, 0)][DBLP]
    Australian Conference on Artificial Intelligence, 2005, pp:1142-1145 [Conf]
  2. Ho-Sung Park, Sung-Kwun Oh, Tae-Chon Ahn
    Improvement of HSOFPNN Using Evolutionary Algorithm. [Citation Graph (0, 0)][DBLP]
    Australian Conference on Artificial Intelligence, 2006, pp:818-825 [Conf]
  3. Sheela Ramanna, James F. Peters, Tae-Chon Ahn
    Software Quality Knowledge Discovery: A Rough Set Approach. [Citation Graph (0, 0)][DBLP]
    COMPSAC, 2002, pp:1140-1145 [Conf]
  4. Ho-Sung Park, Tae-Chon Ahn
    The Analysis and Design of IG_gHSOFPNN by Evolutionary Optimization. [Citation Graph (0, 0)][DBLP]
    FSKD, 2006, pp:231-240 [Conf]
  5. Byoung-Jun Park, Sung-Kwun Oh, Witold Pedrycz, Tae-Chon Ahn
    Information Granulation-Based Multi-layer Hybrid Fuzzy Neural Networks: Analysis and Design. [Citation Graph (0, 0)][DBLP]
    International Conference on Computational Science, 2004, pp:188-195 [Conf]
  6. 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. [Citation Graph (0, 0)][DBLP]
    International Conference on Computational Science (1), 2005, pp:798-803 [Conf]
  7. 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. [Citation Graph (0, 0)][DBLP]
    ICONIP (3), 2006, pp:993-1001 [Conf]
  8. 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. [Citation Graph (0, 0)][DBLP]
    ICONIP (3), 2006, pp:1079-1086 [Conf]
  9. Tae-Chon Ahn, Ho-Sung Park
    Evolutionary Design of gdSOFPNN for Modeling and Prediction of NOx Emission Process. [Citation Graph (0, 0)][DBLP]
    IDEAL, 2006, pp:133-138 [Conf]
  10. 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. [Citation Graph (0, 0)][DBLP]
    IEA/AIE, 2006, pp:472-477 [Conf]
  11. Sung-Kwun Oh, Seok-Beom Roh, Tae-Chon Ahn
    Parameter Estimation of Fuzzy Controller Using Genetic Optimization and Neurofuzzy Networks. [Citation Graph (0, 0)][DBLP]
    ISNN (3), 2005, pp:107-112 [Conf]
  12. Ho-Sung Park, Sung-Kwun Oh, Tae-Chon Ahn
    A Novel Self-Organizing Fuzzy Polynomial Neural Networks with Evolutionary FPNs: Design and Analysis. [Citation Graph (0, 0)][DBLP]
    ISNN (1), 2006, pp:780-785 [Conf]
  13. 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. [Citation Graph (0, 0)][DBLP]
    ISNN (1), 2006, pp:768-773 [Conf]
  14. Sung-Kwun Oh, Keon-Jun Park, Yong-Soo Kim, Tae-Chon Ahn
    Identification of Fuzzy Systems with the Aid of Genetic Fuzzy Granulation. [Citation Graph (0, 0)][DBLP]
    IWANN, 2005, pp:391-398 [Conf]
  15. 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. [Citation Graph (0, 0)][DBLP]
    KES (3), 2006, pp:219-224 [Conf]
  16. Zhong-xian Wang, Jueng-je Yang, Tae-Chon Ahn
    The Design of Self-tuning Strategy of Genetically Optimized Fuzzy-PI Controller for HVDC System. [Citation Graph (0, 0)][DBLP]
    KES (1), 2006, pp:52-59 [Conf]
  17. James F. Peters, Tae-Chon Ahn, Maciej Borkowski
    Obstacle Classification by a Line-Crawling Robot: A Rough Neurocomputing Approach. [Citation Graph (0, 0)][DBLP]
    Rough Sets and Current Trends in Computing, 2002, pp:594-601 [Conf]
  18. Sung-Kwun Oh, James F. Peters, Witold Pedrycz, Tae-Chon Ahn
    Genetically Optimized Rule-Based Fuzzy Polynomial Neural Networks: Synthesis of Computational Intelligence Technologies. [Citation Graph (0, 0)][DBLP]
    RSFDGrC, 2003, pp:437-444 [Conf]
  19. Sung-Kwun Oh, Witold Pedrycz, Tae-Chon Ahn
    Self-organizing neural networks with fuzzy polynomial neurons. [Citation Graph (0, 0)][DBLP]
    Appl. Soft Comput., 2002, v:2, n:1, pp:1-10 [Journal]
  20. 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. [Citation Graph (0, 0)][DBLP]
    ICIC (1), 2007, pp:433-444 [Conf]
  21. 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. [Citation Graph (0, 0)][DBLP]
    ISNN (2), 2007, pp:186-195 [Conf]
  22. Seok-Beom Roh, Tae-Chon Ahn
    Fuzzy Combined Polynomial Neural Networks. [Citation Graph (0, 0)][DBLP]
    KES (3), 2007, pp:49-56 [Conf]
  23. 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. [Citation Graph (0, 0)][DBLP]
    Neurocomputing, 2007, v:70, n:16-18, pp:2783-2798 [Journal]

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