Boosting the Performance of the Fuzzy Min-Max Neural Network in Pattern Classification Tasks

Kok Yeng Chen, Chee Peng Lim, Robert F. Harrison. Boosting the Performance of the Fuzzy Min-Max Neural Network in Pattern Classification Tasks. In Ajith Abraham, Bernard De Baets, Mario Köppen, Bertram Nickolay, editors, Applied Soft Computing Technologies: The Challenge of Complexity, Proceedings of the 9th Online World Conference on Soft Computing in Industrial Applications (WSC9), September 20th - October 8th, 2004, held on the World Wide Web. Volume 34 of Advances in Soft Computing, pages 373-387, Springer, 2004. [doi]

@inproceedings{ChenLH04,
  title = {Boosting the Performance of the Fuzzy Min-Max Neural Network in Pattern Classification Tasks},
  author = {Kok Yeng Chen and Chee Peng Lim and Robert F. Harrison},
  year = {2004},
  doi = {10.1007/3-540-31662-0_29},
  url = {http://dx.doi.org/10.1007/3-540-31662-0_29},
  tags = {classification},
  researchr = {https://researchr.org/publication/ChenLH04},
  cites = {0},
  citedby = {0},
  pages = {373-387},
  booktitle = {Applied Soft Computing Technologies: The Challenge of Complexity, Proceedings of the 9th Online World Conference on Soft Computing in Industrial Applications (WSC9), September 20th - October 8th, 2004, held on the World Wide Web},
  editor = {Ajith Abraham and Bernard De Baets and Mario Köppen and Bertram Nickolay},
  volume = {34},
  series = {Advances in Soft Computing},
  publisher = {Springer},
  isbn = {978-3-540-31649-7},
}