Steel Sheet Incremental Cold Shaping Improvements Using Hybridized Genetic Algorithms with Support Vector Machines and Neural Networks

Laura Puigpinós, José Ramón Villar, Javier Sedano, Emilio Corchado, Joaquim Ciurana. Steel Sheet Incremental Cold Shaping Improvements Using Hybridized Genetic Algorithms with Support Vector Machines and Neural Networks. In David Alejandro Pelta, Natalio Krasnogor, Dan Dumitrescu, Camelia Chira, Rodica Ioana Lung, editors, Nature Inspired Cooperative Strategies for Optimization, NICSO 2011, Cluj-Napoca, Romania, October 20-22, 2011. Volume 387 of Studies in Computational Intelligence, pages 323-332, Springer, 2011. [doi]

@inproceedings{PuigpinosVSCC11,
  title = {Steel Sheet Incremental Cold Shaping Improvements Using Hybridized Genetic Algorithms with Support Vector Machines and Neural Networks},
  author = {Laura Puigpinós and José Ramón Villar and Javier Sedano and Emilio Corchado and Joaquim Ciurana},
  year = {2011},
  doi = {10.1007/978-3-642-24094-2_22},
  url = {http://dx.doi.org/10.1007/978-3-642-24094-2_22},
  researchr = {https://researchr.org/publication/PuigpinosVSCC11},
  cites = {0},
  citedby = {0},
  pages = {323-332},
  booktitle = {Nature Inspired Cooperative Strategies for Optimization, NICSO 2011, Cluj-Napoca, Romania, October 20-22, 2011},
  editor = {David Alejandro Pelta and Natalio Krasnogor and Dan Dumitrescu and Camelia Chira and Rodica Ioana Lung},
  volume = {387},
  series = {Studies in Computational Intelligence},
  publisher = {Springer},
  isbn = {978-3-642-24093-5},
}