A hybrid PSO optimized SVM-based model for predicting a successful growth cycle of the Spirulina platensis from raceway experiments data

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	2015-12-21T10:39:50Z
dc.date.available	2015-12-21T10:39:50Z
dc.date.issued	2016
dc.identifier.citation	Journal of Computational and Applied Mathematics, 291, p. 293-303 (2016); doi:10.1016/j.cam.2015.01.009
dc.identifier.issn	0377-0427
dc.identifier.uri	http://hdl.handle.net/10651/34084
dc.format.extent	p. 293-303
dc.language.iso	eng
dc.relation.ispartof	Journal of Computational and Applied Mathematics
dc.rights	© 2015 Elsevier B.V. All rights reserved.
dc.source	Scopus
dc.source.uri	http://www.scopus.com/inward/record.url?eid=2-s2.0-84939269295&partnerID=40&md5=0ab41a46ebc47875a9bc824dd777f577
dc.title	A hybrid PSO optimized SVM-based model for predicting a successful growth cycle of the Spirulina platensis from raceway experiments data	eng
dc.type	journal article
dc.identifier.doi	10.1016/j.cam.2015.01.009
dc.relation.publisherversion	http://dx.doi.org/10.1016/j.cam.2015.01.009

Ficheros en el ítem

Ficheros	Tamaño	Formato	Ver
No hay ficheros asociados a este ítem.