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Ho-Sung Park: [Publications] [Author Rank by year] [Co-authors] [Prefers] [Cites] [Cited by]

Publications of Author

  1. 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]
  2. 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]
  3. Ho-Sung Park, Sung-Kwun Oh, Witold Pedrycz, Yongkab Kim
    Genetically Dynamic Optimization Based Fuzzy Polynomial Neural Networks. [Citation Graph (0, 0)][DBLP]
    International Conference on Computational Science (1), 2005, pp:792-797 [Conf]
  4. 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]
  5. 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]
  6. 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]
  7. 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]
  8. Ho-Sung Park, Sung-Kwun Oh, Witold Pedrycz, Hyun-Ki Kim
    Genetically Optimized Self-Organizing Neural Networks Based on PNs and FPNs. [Citation Graph (0, 0)][DBLP]
    ISNN (1), 2004, pp:156-161 [Conf]
  9. 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. [Citation Graph (0, 0)][DBLP]
    ISNN (1), 2004, pp:162-167 [Conf]
  10. Hosung Park, Daehee Park, Sung-Kwun Oh
    Genetically Optimized Self-organizing Fuzzy Polynomial Neural Networks Based on Information Granulation. [Citation Graph (0, 0)][DBLP]
    ISNN (1), 2005, pp:410-415 [Conf]
  11. 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. [Citation Graph (0, 0)][DBLP]
    MDAI, 2005, pp:346-353 [Conf]
  12. 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. [Citation Graph (0, 0)][DBLP]
    Advanced Engineering Informatics, 2002, v:16, n:4, pp:247-263 [Journal]
  13. Ho-Sung Park, Witold Pedrycz, Sung-Kwun Oh
    Evolutionary design of hybrid self-organizing fuzzy polynomial neural networks with the aid of information granulation. [Citation Graph (0, 0)][DBLP]
    Expert Syst. Appl., 2007, v:33, n:4, pp:830-846 [Journal]
  14. Sung-Kwun Oh, Witold Pedrycz, Ho-Sung Park
    Hybrid identification in fuzzy-neural networks. [Citation Graph (0, 0)][DBLP]
    Fuzzy Sets and Systems, 2003, v:138, n:2, pp:399-426 [Journal]
  15. Sung-Kwun Oh, Witold Pedrycz, Ho-Sung Park
    Multi-layer hybrid fuzzy polynomial neural networks: a design in the framework of computational intelligence. [Citation Graph (0, 0)][DBLP]
    Neurocomputing, 2005, v:64, n:, pp:397-431 [Journal]
  16. Sung-Kwun Oh, Witold Pedrycz, Ho-Sung Park
    Genetically Optimized Multi-Layer Fuzzy Polynomial Neural Networks: Analysis and Design. [Citation Graph (0, 0)][DBLP]
    JACIII, 2006, v:10, n:1, pp:35-49 [Journal]
  17. Sung-Kwun Oh, Witold Pedrycz, Ho-Sung Park
    Rule-based multi-FNN identification with the aid of evolutionary fuzzy granulation. [Citation Graph (0, 0)][DBLP]
    Knowl.-Based Syst., 2004, v:17, n:1, pp:1-13 [Journal]
  18. Sung-Kwun Oh, Witold Pedrycz, Ho-Sung Park
    Genetically optimized fuzzy polynomial neural networks. [Citation Graph (0, 0)][DBLP]
    IEEE T. Fuzzy Systems, 2006, v:14, n:1, pp:125-144 [Journal]

  19. Development of Design Strategy for RBF Neural Network with the Aid of Context-Based FCM. [Citation Graph (, )][DBLP]


  20. Genetic-Based Granular Radial Basis Function Neural Network. [Citation Graph (, )][DBLP]


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