Genetically Optimized Rule-Based Fuzzy Polynomial Neural Networks: Synthesis of Computational Intelligence Technologies

Sung-Kwun Oh, James F. Peters, Witold Pedrycz, Tae-Chon Ahn. Genetically Optimized Rule-Based Fuzzy Polynomial Neural Networks: Synthesis of Computational Intelligence Technologies. In Guoyin Wang, Qing Liu, Yiyu Yao, Andrzej Skowron, editors, Rough Sets, Fuzzy Sets, Data Mining, and Granular Computing, 9th International Conference, RSFDGrC 2003, Chongqing, China, May 26-29, 2003, Proceedings. Volume 2639 of Lecture Notes in Computer Science, pages 437-444, Springer, 2003. [doi]

@inproceedings{OhPPA03,
  title = {Genetically Optimized Rule-Based Fuzzy Polynomial Neural Networks: Synthesis of Computational Intelligence Technologies},
  author = {Sung-Kwun Oh and James F. Peters and Witold Pedrycz and Tae-Chon Ahn},
  year = {2003},
  url = {http://link.springer.de/link/service/series/0558/bibs/2639/26390437.htm},
  tags = {optimization, rule-based, rules},
  researchr = {https://researchr.org/publication/OhPPA03},
  cites = {0},
  citedby = {0},
  pages = {437-444},
  booktitle = {Rough Sets, Fuzzy Sets, Data Mining, and Granular Computing, 9th International Conference, RSFDGrC 2003, Chongqing, China, May 26-29, 2003, Proceedings},
  editor = {Guoyin Wang and Qing Liu and Yiyu Yao and Andrzej Skowron},
  volume = {2639},
  series = {Lecture Notes in Computer Science},
  publisher = {Springer},
  isbn = {3-540-14040-9},
}