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

dc.contributor.authorAlonso Fernández, José Ramón
dc.contributor.authorDíaz Muñiz, C.
dc.contributor.authorGarcía Nieto, Paulino José 
dc.contributor.authorCos Juez, Francisco Javier de 
dc.contributor.authorSánchez Lasheras, Fernando 
dc.contributor.authorRoqueñí Gutiérrez, María Nieves 
dc.date.accessioned2013-04-09T11:48:45Z
dc.date.available2013-04-09T11:48:45Z
dc.date.issued2012
dc.identifier.citationEcological Engineering, 53, p. 68–78 (2013); doi:10.1016/j.ecoleng.2012.12.015
dc.identifier.issn0925-8574
dc.identifier.urihttp://hdl.handle.net/10651/13269
dc.language.isoeng
dc.relation.ispartofEcological Engineering
dc.sourceSCOPUS
dc.titleForecasting the cyanotoxins presence in fresh waters: A new model based on genetic algorithms combined with the MARS technique
dc.typejournal article
dc.identifier.local20121616
dc.identifier.doi10.1016/j.ecoleng.2012.12.015
dc.relation.publisherversionhttp://dx.doi.org/10.1016/j.ecoleng.2012.12.015


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