New Multi-Objective Algorithms for Neural Network Training Applied to Genomic Classification Data

Marcelo Azevedo Costa, Thiago S. Rodrigues, Euler Guimarães Horta, Antônio de Pádua Braga, Carmen D. M. Pataro, René Natowicz, Roberto Incitti, Roman Rouzier, Arben Çela. New Multi-Objective Algorithms for Neural Network Training Applied to Genomic Classification Data. In Aboul Ella Hassanien, Ajith Abraham, Athanasios V. Vasilakos, Witold Pedrycz, editors, Foundations of Computational Intelligence, Volume 1: Learning and Approximation. Volume 201 of Studies in Computational Intelligence, pages 63-82, Springer, 2009. [doi]

@incollection{CostaRHBPNIRC09,
  title = {New Multi-Objective Algorithms for Neural Network Training Applied to Genomic Classification Data},
  author = {Marcelo Azevedo Costa and Thiago S. Rodrigues and Euler Guimarães Horta and Antônio de Pádua Braga and Carmen D. M. Pataro and René Natowicz and Roberto Incitti and Roman Rouzier and Arben Çela},
  year = {2009},
  doi = {10.1007/978-3-642-01082-8_3},
  url = {http://dx.doi.org/10.1007/978-3-642-01082-8_3},
  tags = {classification},
  researchr = {https://researchr.org/publication/CostaRHBPNIRC09},
  cites = {0},
  citedby = {0},
  pages = {63-82},
  booktitle = {Foundations of Computational Intelligence, Volume 1: Learning and Approximation},
  editor = {Aboul Ella Hassanien and Ajith Abraham and Athanasios V. Vasilakos and Witold Pedrycz},
  volume = {201},
  series = {Studies in Computational Intelligence},
  publisher = {Springer},
  isbn = {978-3-642-01081-1},
}