Hybrid modelling based on support vector regression with genetic algorithms in forecasting the cyanotoxins presence in the Trasona reservoir (Northern Spain)

dc.contributor.author	García Nieto, Paulino José
dc.contributor.author	Alonso Fernández, Jose Ramón
dc.contributor.author	Cos Juez, Francisco Javier de
dc.contributor.author	Sánchez Lasheras, Fernando
dc.contributor.author	Díaz Muñiz, C.
dc.date.accessioned	2013-04-09T11:48:46Z
dc.date.available	2013-04-09T11:48:46Z
dc.date.issued	2013
dc.identifier.citation	Environmental research, 122, p. 1–10 (2013); doi:10.1016/j.envres.2013.01.001
dc.identifier.issn	0013-9351
dc.identifier.uri	http://hdl.handle.net/10651/13273
dc.format.extent	p. 1-13
dc.language.iso	eng
dc.relation.ispartof	Environmental research
dc.source	SCOPUS
dc.title	Hybrid modelling based on support vector regression with genetic algorithms in forecasting the cyanotoxins presence in the Trasona reservoir (Northern Spain)
dc.type	journal article
dc.identifier.local	20121687
dc.identifier.doi	10.1016/j.envres.2013.01.001
dc.relation.publisherversion	http://dx.doi.org/10.1016/j.envres.2013.01.001

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