PM10 concentration forecasting in the metropolitan area of Oviedo (Northern Spain) using models based on SVM, MLP, VARMA and ARIMA: A case study

dc.contributor.author	García Nieto, Paulino José
dc.contributor.author	Sánchez Lasheras, Fernando
dc.contributor.author	García Gonzalo, María Esperanza
dc.contributor.author	Cos Juez, Francisco Javier de
dc.date.accessioned	2018-02-28T10:41:30Z
dc.date.available	2018-02-28T10:41:30Z
dc.date.issued	2018
dc.identifier.citation	Science of the Total Environment, 621, p. 753-761 (2018); doi:10.1016/j.scitotenv.2017.11.291
dc.identifier.uri	http://hdl.handle.net/10651/46316
dc.description.sponsorship	The authors wish to thank the General Directorate of Prevention and Environmental Control (from Ministry of Infrastructure, Spatial Planning and Environment of the Principality of Asturias) for providing the experimental dataset used in this research. Add
dc.format.extent	p. 753-761
dc.language.iso	eng
dc.relation.ispartof	Science of the Total Environment
dc.rights	© 2017 Elsevier B.V.
dc.source	Scopus
dc.source.uri	https://www.scopus.com/inward/record.uri?eid=2-s2.0-85036475541&doi=10.1016%2fj.scitotenv.2017.11.291&partnerID=40&md5=dc19bcf8a359f6404f3f5e13ebd09468
dc.title	PM10 concentration forecasting in the metropolitan area of Oviedo (Northern Spain) using models based on SVM, MLP, VARMA and ARIMA: A case study
dc.type	journal article
dc.identifier.doi	10.1016/j.scitotenv.2017.11.291
dc.relation.publisherversion	http://dx.doi.org/10.1016/j.scitotenv.2017.11.291

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