Forecasting concentrations of air pollutants using support vector regression improved with particle swarm optimization: Case study in Aburrá Valley, Colombia

dc.contributor.author	Murillo-Escobar J.
dc.contributor.author	Sepulveda-Suescun J.P.
dc.contributor.author	Correa M.A.
dc.contributor.author	Orrego-Metaute D.
dc.date.accessioned	2020-08-28T22:27:35Z
dc.date.available	2020-08-28T22:27:35Z
dc.date.issued	2019
dc.identifier.uri	http://hdl.handle.net/20.500.12622/3132
dc.source	Scopus
dc.source.uri	https://www.scopus.com/inward/record.uri?eid=2-s2.0-85065720747&doi=10.1016%2fj.uclim.2019.100473&partnerID=40&md5=bdc27fbfdb491f7de4ecb960e0a33f93
dc.title	Forecasting concentrations of air pollutants using support vector regression improved with particle swarm optimization: Case study in Aburrá Valley, Colombia	spa
dc.title.alternative	Urban Climate
dc.type	info:eu-repo/semantics/article
dc.rights.accessrights	info:eu-repo/semantics/closedAccess
dc.identifier.doi	10.1016/j.uclim.2019.100473
dc.relation.citationvolume	29
dc.description.edition	100473
dc.type.version	info:eu-repo/semantics/publishedVersion

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