Prediction of five softwood paper properties from its density using support vector machine regression techniques

dc.contributor.author	García Gonzalo, María Esperanza
dc.contributor.author	Santos, Antonio J. A.
dc.contributor.author	Martínez Torres, Javier
dc.contributor.author	Pereira, Helena
dc.contributor.author	Simões, Rogerio
dc.contributor.author	García Nieto, Paulino José
dc.contributor.author	Anjos, Ofelia
dc.date.accessioned	2017-02-01T07:40:23Z
dc.date.available	2017-02-01T07:40:23Z
dc.date.issued	2016
dc.identifier.citation	BioResources, 11(1), p. 1892-1904 (2016); doi:10.15376/biores.11.1.1892-1904
dc.identifier.issn	1930-2126
dc.identifier.uri	http://hdl.handle.net/10651/39802
dc.description.sponsorship	Centro de Estudos Florestais is a research unit funded by Fundacao para a Ciencia e a Tecnologia (Portugal) within UID/AGR/00239/2013. The research unit Fiber Materials and Environmental Technologies is funded by Fundacao para a Ciencia e a Tecnologia (Portugal) within UID/Multi/00195/2013
dc.format.extent	p. 1892-1904
dc.language.iso	eng
dc.relation.ispartof	BioResources
dc.rights	© The authors
dc.source	Scopus
dc.source.uri	https://www.scopus.com/inward/record.uri?eid=2-s2.0-84965078775&partnerID=40&md5=5b12560953957ac84533537bd2700407
dc.title	Prediction of five softwood paper properties from its density using support vector machine regression techniques
dc.type	journal article
dc.identifier.doi	10.15376/biores.11.1.1892-1904
dc.relation.publisherversion	http://dx.doi.org/10.15376/biores.11.1.1892-1904
dc.rights.accessRights	open access