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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.authorGarcía Nieto, Paulino José 
dc.contributor.authorGarcía Gonzalo, María Esperanza 
dc.contributor.authorAlonso Fernández, J. R.
dc.contributor.authorDíaz Muñiz, C.
dc.date.accessioned2019-11-14T10:22:05Z
dc.date.available2019-11-14T10:22:05Z
dc.date.issued2019
dc.identifier.citationMathematics and Computers in Simulation, 166, p. 461-480 (2019); doi:10.1016/j.matcom.2019.07.011
dc.identifier.issn0378-4754
dc.identifier.urihttp://hdl.handle.net/10651/53195
dc.description.sponsorshipThis 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.extentp. 461-480
dc.language.isoeng
dc.relation.ispartofMathematics and Computers in Simulation, 166
dc.rights© 2019 International Association for Mathematics and Computers in Simulation (IMACS).
dc.sourceScopus
dc.source.urihttps://www2.scopus.com/inward/record.uri?eid=2-s2.0-85069693073&doi=10.1016%2fj.matcom.2019.07.011&partnerID=40&md5=99bf1359cfd95c7d7e36af836aad5061
dc.titleModeling of the algal atypical increase in La Barca reservoir using the DE optimized least square support vector machine approach with feature selection
dc.typejournal article
dc.identifier.doi10.1016/j.matcom.2019.07.011
dc.relation.projectIDFICYT/GRUPIN/IDI/2018/000221
dc.relation.publisherversionhttp://dx.doi.org/10.1016/j.matcom.2019.07.011


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