Steel sheet incremental cold shaping improvements using hybridized genetic algorithms with support vector machines and neural networks

dc.contributor.author	Puigpinós, Laura	spa
dc.contributor.author	Villar Flecha, José Ramón	spa
dc.contributor.author	Sedano Franco, Javier	spa
dc.contributor.author	Corchado Rodríguez, Emilio Santiago	spa
dc.contributor.author	Ciurana, Joaquim de	spa
dc.date.accessioned	2013-01-30T12:09:09Z
dc.date.available	2013-01-30T12:09:09Z
dc.date.issued	2011	spa
dc.identifier.isbn	9783642240935	spa
dc.identifier.uri	http://hdl.handle.net/10651/11653
dc.format.extent	p. 323-332	spa
dc.language.iso	eng
dc.publisher	Springer	spa
dc.relation.ispartof	Studies in Computational Intelligence. Nature Inspired Cooperative Strategies for Optimization (NICSO 2011)	spa
dc.source	SCOPUS	spa
dc.title	Steel sheet incremental cold shaping improvements using hybridized genetic algorithms with support vector machines and neural networks	eng
dc.type	book part	spa
dc.identifier.local	20111944	spa
dc.identifier.doi	10.1007/978-3-642-24094-2_22	spa
dc.relation.publisherversion	http://dx.doi.org/10.1007/978-3-642-24094-2_22	spa

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