Topology Optimization and Training of Recurrent Neural Networks with Pareto-Based Multi-objective Algorithms: A Experimental Study

M. P. Cuéllar, Miguel Delgado, Marial del Carmen Pegalajar Jiménez. Topology Optimization and Training of Recurrent Neural Networks with Pareto-Based Multi-objective Algorithms: A Experimental Study. In Francisco Sandoval Hernández, Alberto Prieto, Joan Cabestany, Manuel Graña, editors, Computational and Ambient Intelligence, 9th International Work-Conference on Artificial Neural Networks, IWANN 2007, San Sebastián, Spain, June 20-22, 2007, Proceedings. Volume 4507 of Lecture Notes in Computer Science, pages 359-366, Springer, 2007. [doi]

@inproceedings{CuellarDP07,
  title = {Topology Optimization and Training of Recurrent Neural Networks with Pareto-Based Multi-objective Algorithms: A Experimental Study},
  author = {M. P. Cuéllar and Miguel Delgado and Marial del Carmen Pegalajar Jiménez},
  year = {2007},
  doi = {10.1007/978-3-540-73007-1_44},
  url = {http://dx.doi.org/10.1007/978-3-540-73007-1_44},
  tags = {optimization, rule-based},
  researchr = {https://researchr.org/publication/CuellarDP07},
  cites = {0},
  citedby = {0},
  pages = {359-366},
  booktitle = {Computational and Ambient Intelligence, 9th International Work-Conference on Artificial Neural Networks, IWANN 2007, San Sebastián, Spain, June 20-22, 2007, Proceedings},
  editor = {Francisco Sandoval Hernández and Alberto Prieto and Joan Cabestany and Manuel Graña},
  volume = {4507},
  series = {Lecture Notes in Computer Science},
  publisher = {Springer},
  isbn = {978-3-540-73006-4},
}