Forecasting the cyanotoxins presence in fresh waters: A new model based on genetic algorithms combined with the MARS technique

dc.contributor.author	Alonso Fernández, José Ramón
dc.contributor.author	Díaz Muñiz, C.
dc.contributor.author	García Nieto, Paulino José
dc.contributor.author	Cos Juez, Francisco Javier de
dc.contributor.author	Sánchez Lasheras, Fernando
dc.contributor.author	Roqueñí Gutiérrez, María Nieves
dc.date.accessioned	2013-04-09T11:48:45Z
dc.date.available	2013-04-09T11:48:45Z
dc.date.issued	2012
dc.identifier.citation	Ecological Engineering, 53, p. 68–78 (2013); doi:10.1016/j.ecoleng.2012.12.015
dc.identifier.issn	0925-8574
dc.identifier.uri	http://hdl.handle.net/10651/13269
dc.language.iso	eng
dc.relation.ispartof	Ecological Engineering
dc.source	SCOPUS
dc.title	Forecasting the cyanotoxins presence in fresh waters: A new model based on genetic algorithms combined with the MARS technique
dc.type	journal article
dc.identifier.local	20121616
dc.identifier.doi	10.1016/j.ecoleng.2012.12.015
dc.relation.publisherversion	http://dx.doi.org/10.1016/j.ecoleng.2012.12.015

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