A hybrid wavelet kernel SVM-based method using artificial bee colony algorithm for predicting the cyanotoxin content from experimental cyanobacteria concentrations in the Trasona reservoir (Northern Spain)

dc.contributor.author	García Nieto, Paulino José
dc.contributor.author	García Gonzalo, María Esperanza
dc.contributor.author	Alonso Fernández, José Ramón
dc.contributor.author	Díaz Muñiz, C.
dc.date.accessioned	2016-06-21T11:37:09Z
dc.date.available	2016-06-21T11:37:09Z
dc.date.issued	2016
dc.identifier.citation	Journal of Computational and Applied Mathematics, 309, p. 587–602 (2016); doi:10.1016/j.cam.2016.01.045
dc.identifier.issn	0377-0427
dc.identifier.uri	http://hdl.handle.net/10651/37808
dc.format.extent	p. 587–602
dc.language.iso	eng
dc.relation.ispartof	Journal of Computational and Applied Mathematics
dc.rights	©
dc.source	Scopus
dc.source.uri	https://www.scopus.com/inward/record.uri?eid=2-s2.0-84959075554&partnerID=40&md5=7bb9b11086c8edf7707d74a0df114cf6
dc.title	A hybrid wavelet kernel SVM-based method using artificial bee colony algorithm for predicting the cyanotoxin content from experimental cyanobacteria concentrations in the Trasona reservoir (Northern Spain)	eng
dc.type	journal article
dc.identifier.doi	10.1016/j.cam.2016.01.045
dc.relation.publisherversion	http://dx.doi.org/10.1016/j.cam.2016.01.045

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