Gradient Type Learning Rules for Neural Networks Based on Watcher-Environment Model

M. Tanvir Islam, Yoichi Okabe. Gradient Type Learning Rules for Neural Networks Based on Watcher-Environment Model. In Nikhil R. Pal, Nikola Kasabov, Rajani K. Mudi, Srimanta Pal, Swapan K. Parui, editors, Neural Information Processing, 11th International Conference, ICONIP 2004, Calcutta, India, November 22-25, 2004, Proceedings. Volume 3316 of Lecture Notes in Computer Science, pages 537-542, Springer, 2004. [doi]

@inproceedings{IslamO04,
  title = {Gradient Type Learning Rules for Neural Networks Based on Watcher-Environment Model},
  author = {M. Tanvir Islam and Yoichi Okabe},
  year = {2004},
  url = {http://springerlink.metapress.com/openurl.asp?genre=article&issn=0302-9743&volume=3316&spage=537},
  tags = {rule-based, meta-model, rules, Meta-Environment, meta-objects},
  researchr = {https://researchr.org/publication/IslamO04},
  cites = {0},
  citedby = {0},
  pages = {537-542},
  booktitle = {Neural Information Processing, 11th International Conference, ICONIP 2004, Calcutta, India, November 22-25, 2004, Proceedings},
  editor = {Nikhil R. Pal and Nikola Kasabov and Rajani K. Mudi and Srimanta Pal and Swapan K. Parui},
  volume = {3316},
  series = {Lecture Notes in Computer Science},
  publisher = {Springer},
  isbn = {3-540-23931-6},
}