Classification and prediction of bulk densities of states and chemical attributes with machine learning techniques

dc.contributor.author	Sánchez Pérez de Amézaga, Claudio
dc.contributor.author	García Suárez, Víctor Manuel
dc.contributor.author	Fernández Martínez, Juan Luis
dc.date.accessioned	2022-09-06T07:29:34Z
dc.date.available	2022-09-06T07:29:34Z
dc.date.issued	2022
dc.identifier.citation	Applied mathematics and computation, 412, (2022); doi:10.1016/j.amc.2021.126587
dc.identifier.issn	0096-3003
dc.identifier.issn	1873-5649
dc.identifier.uri	http://hdl.handle.net/10651/64710
dc.description.sponsorship	Banco Santander for a Mobility Excelence Grant
dc.language.iso	eng
dc.relation.ispartof	Applied mathematics and computation
dc.rights	©,
dc.source	WOS:000731722700007
dc.title	Classification and prediction of bulk densities of states and chemical attributes with machine learning techniques
dc.type	journal article
dc.identifier.doi	10.1016/j.amc.2021.126587
dc.relation.publisherversion	http://dx.doi.org/10.1016/j.amc.2021.126587

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