A hybrid predictive approach for chromium layer thickness in the hard chromium plating process based on the differential evolution/gradient boosted regression tree methodology

dc.contributor.author	García Nieto, Paulino José
dc.contributor.author	García Gonzalo, María Esperanza
dc.contributor.author	Sánchez Lasheras, Fernando
dc.contributor.author	Sánchez, Antonio Bernardo
dc.date.accessioned	2021-01-27T10:18:56Z
dc.date.available	2021-01-27T10:18:56Z
dc.date.issued	2020
dc.identifier.citation	Mathematics, 8(6) (2020); doi:10.3390/math8060959
dc.identifier.issn	2227-7390
dc.identifier.uri	http://hdl.handle.net/10651/57392
dc.language.iso	eng
dc.relation.ispartof	Mathematics
dc.rights	©,
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-s2.0-85087564478&doi=10.3390%2fmath8060959&partnerID=40&md5=08a1672749759e4874719e5b224c2b08
dc.title	A hybrid predictive approach for chromium layer thickness in the hard chromium plating process based on the differential evolution/gradient boosted regression tree methodology
dc.type	journal article
dc.identifier.doi	10.3390/math8060959
dc.relation.publisherversion	http://dx.doi.org/10.3390/math8060959
dc.rights.accessRights	open access
dc.type.hasVersion	VoR

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