Modeling of the algal atypical increase in La Barca reservoir using the DE optimized least square support vector machine approach with feature selection

dc.contributor.author	García Nieto, Paulino José
dc.contributor.author	García Gonzalo, María Esperanza
dc.contributor.author	Alonso Fernández, J. R.
dc.contributor.author	Díaz Muñiz, C.
dc.date.accessioned	2019-11-14T10:22:05Z
dc.date.available	2019-11-14T10:22:05Z
dc.date.issued	2019
dc.identifier.citation	Mathematics and Computers in Simulation, 166, p. 461-480 (2019); doi:10.1016/j.matcom.2019.07.011
dc.identifier.issn	0378-4754
dc.identifier.uri	http://hdl.handle.net/10651/53195
dc.description.sponsorship	This research was fundedby the Foundation for the Promotion of Applied Scientific Research and Technology in Asturias (FICYT) throughthe GRUPIN project Reference IDI/2018/000221, co-financed with EU FEDER funds.
dc.format.extent	p. 461-480
dc.language.iso	eng
dc.relation.ispartof	Mathematics and Computers in Simulation, 166
dc.rights	© 2019 International Association for Mathematics and Computers in Simulation (IMACS).
dc.source	Scopus
dc.source.uri	https://www2.scopus.com/inward/record.uri?eid=2-s2.0-85069693073&doi=10.1016%2fj.matcom.2019.07.011&partnerID=40&md5=99bf1359cfd95c7d7e36af836aad5061
dc.title	Modeling of the algal atypical increase in La Barca reservoir using the DE optimized least square support vector machine approach with feature selection
dc.type	journal article
dc.identifier.doi	10.1016/j.matcom.2019.07.011
dc.relation.projectID	FICYT/GRUPIN/IDI/2018/000221
dc.relation.publisherversion	http://dx.doi.org/10.1016/j.matcom.2019.07.011

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