A hybrid PSO optimized SVM-based method for predicting of the cyanotoxin content from experimental cyanobacteria concentrations in the Trasona reservoir: A case study in Northern Spain

dc.contributor.author	García Nieto, Paulino José
dc.contributor.author	Alonso Fernández, José Ramón
dc.contributor.author	González Suárez, Víctor Manuel
dc.contributor.author	Muñiz, C. D.
dc.contributor.author	García Gonzalo, María Esperanza
dc.contributor.author	Mayo Bayón, Ricardo
dc.date.accessioned	2015-07-13T11:29:53Z
dc.date.available	2015-07-13T11:29:53Z
dc.date.issued	2015
dc.identifier.citation	Applied Mathematics and Computation, 260, p. 170-187 (2015); doi:10.1016/j.amc.2015.03.075
dc.identifier.issn	0096-3003
dc.identifier.uri	http://hdl.handle.net/10651/31905
dc.description.sponsorship	Cofinanced by 80% within the priority Focus 1 of the Operational Programme FEDER of the Principality of Asturias 2007–2013 (research project FC-11-PC10-19)
dc.format.extent	p. 170-187
dc.language.iso	eng
dc.relation.ispartof	Applied Mathematics and Computation
dc.rights	©,
dc.source	Scopus
dc.source.uri	http://www.scopus.com/inward/record.url?eid=2-s2.0-84926483589&partnerID=40&md5=6ce65be0259203d715accd87e1daa71b
dc.title	A hybrid PSO optimized SVM-based method for predicting of the cyanotoxin content from experimental cyanobacteria concentrations in the Trasona reservoir: A case study in Northern Spain	eng
dc.type	journal article
dc.identifier.doi	10.1016/j.amc.2015.03.075
dc.relation.publisherversion	http://dx.doi.org/10.1016/j.amc.2015.03.075

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