Prediction of the critical temperature of a superconductor by using the WOA/MARS, Ridge, Lasso and Elastic-net machine learning techniques

dc.contributor.author	García Nieto, Paulino José
dc.contributor.author	García Gonzalo, María Esperanza
dc.contributor.author	Paredes Sánchez, José Pablo
dc.date.accessioned	2022-02-01T08:05:53Z
dc.date.available	2022-02-01T08:05:53Z
dc.date.issued	2021
dc.identifier.citation	Neural Computing and Applications, 33, p. 17131-17145 (2021); doi:10.1007/s00521-021-06304-z
dc.identifier.issn	0941-0643
dc.identifier.uri	http://hdl.handle.net/10651/61719
dc.description.sponsorship	Spanish Research Projects PGC2018-098459-B-I00 and FC-GRUPIN-IDI/2018/000221, both of which are partially financed by European Funds (FEDER).
dc.format.extent	p. 17131-17145
dc.language.iso	eng
dc.relation.ispartof	Neural Computing and Applications
dc.rights	© The authors 2021, corrected publication 2021
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-s2.0-85110876159&doi=10.1007%2fs00521-021-06304-z&partnerID=40&md5=2c5eeb7d0aa4852ac7236ae96c256ac4
dc.title	Prediction of the critical temperature of a superconductor by using the WOA/MARS, Ridge, Lasso and Elastic-net machine learning techniques
dc.type	journal article
dc.identifier.doi	10.1007/s00521-021-06304-z
dc.local.notes	OA ATUO21
dc.relation.projectID	PGC2018-098459-B-I00
dc.relation.projectID	FC-GRUPIN-IDI/2018/000221
dc.relation.publisherversion	http://dx.doi.org/10.1007/s00521-021-06304-z
dc.rights.accessRights	open access
dc.type.hasVersion	VoR

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