Modeling eutrophication risks in tanes reservoir by using a hybrid woa optimized svr-relied technique along with feature selection based on the mars approximation

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	2022-03-11T07:30:04Z
dc.date.available	2022-03-11T07:30:04Z
dc.date.issued	2021
dc.identifier.citation	Stochastic Environmental Research and Risk Assessment (2021); doi:10.1007/s00477-021-02136-4
dc.identifier.issn	1436-3240
dc.identifier.uri	http://hdl.handle.net/10651/62243
dc.description.sponsorship	Open Access funding provided thanks to the CRUE-CSIC agreement with Springer Nature.
dc.language.iso	eng
dc.relation.ispartof	Stochastic environmental research and risk assessment
dc.rights	© Paulino José García Nieto et al.
dc.rights	CC Reconocimiento 4.0 Internacional
dc.rights.uri	http://creativecommons.org/licenses/by/4.0/
dc.source	Scopus
dc.source.uri	https://www.scopus.com/inward/record.uri?eid=2-s2.0-85119504014&doi=10.1007%2fs00477-021-02136-4&partnerID=40&md5=8c7a6b9ee4ed0f4e13a1baf6e9c81ac0
dc.title	Modeling eutrophication risks in tanes reservoir by using a hybrid woa optimized svr-relied technique along with feature selection based on the mars approximation
dc.type	journal article
dc.identifier.doi	10.1007/s00477-021-02136-4
dc.local.notes	OA ATUO21
dc.relation.publisherversion	http://dx.doi.org/10.1007/s00477-021-02136-4
dc.rights.accessRights	open access
dc.type.hasVersion	VoR

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