Applying Genetic and Symbolic Learning Algorithms to Extract Rules from Artificial Neural Networks

Claudia Regina Milaré, Gustavo E. A. P. A. Batista, André Carlos Ponce Leon Ferreira de Carvalho, Maria Carolina Monard. Applying Genetic and Symbolic Learning Algorithms to Extract Rules from Artificial Neural Networks. In Raul Monroy, Gustavo Arroyo-Figueroa, Luis Enrique Sucar, Juan Humberto Sossa Azuela, editors, MICAI 2004: Advances in Artificial Intelligence, Third Mexican International Conference on Artificial Intelligence, Mexico City, Mexico, April 26-30, 2004, Proceedings. Volume 2972 of Lecture Notes in Computer Science, pages 833-843, Springer, 2004. [doi]

@inproceedings{MilareBCM04,
  title = {Applying Genetic and Symbolic Learning Algorithms to Extract Rules from Artificial Neural Networks},
  author = {Claudia Regina Milaré and Gustavo E. A. P. A. Batista and André Carlos Ponce Leon Ferreira de Carvalho and Maria Carolina Monard},
  year = {2004},
  url = {http://springerlink.metapress.com/openurl.asp?genre=article&issn=0302-9743&volume=2972&spage=833},
  tags = {rule-based, rules},
  researchr = {https://researchr.org/publication/MilareBCM04},
  cites = {0},
  citedby = {0},
  pages = {833-843},
  booktitle = {MICAI 2004: Advances in Artificial Intelligence, Third Mexican International Conference on Artificial Intelligence, Mexico City, Mexico, April 26-30, 2004, Proceedings},
  editor = {Raul Monroy and Gustavo Arroyo-Figueroa and Luis Enrique Sucar and Juan Humberto Sossa Azuela},
  volume = {2972},
  series = {Lecture Notes in Computer Science},
  publisher = {Springer},
  isbn = {3-540-21459-3},
}