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Authordc.contributor.authorAvalos, S
Authordc.contributor.authorKracht, W
Authordc.contributor.authorOrtiz, JM
Admission datedc.date.accessioned2022-12-27T15:46:56Z
Available datedc.date.available2022-12-27T15:46:56Z
Publication datedc.date.issued2020
Identifierdc.identifier.issn25243470
Identifierdc.identifier.issn25243462
Identifierdc.identifier.other10.1007/s42461-020-00238-1
Identifierdc.identifier.urihttps://repositorio.uchile.cl/handle/2250/190982
Lenguagedc.language.isoen
Publisherdc.publisherSpringer
Type of licensedc.rightsAttribution-NonCommercial-NoDerivs 3.0 Chile
Link to Licensedc.rights.urihttp://creativecommons.org/licenses/by-nc-nd/3.0/cl/
Sourcedc.sourceMining, Metallurgy and Exploration
Títulodc.titleMachine Learning and Deep Learning Methods in Mining Operations: a Data-Driven SAG Mill Energy Consumption Prediction Application
Document typedc.typeArtículo de revista
Catalogueruchile.catalogadorSCOPUS
Indexationuchile.indexArtículo de publicación ISI
Indexationuchile.indexArtículo de publicación SCOPUS
Indexationuchile.indexArtículo de publicación SCIELO
uchile.cosechauchile.cosechaSI


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Attribution-NonCommercial-NoDerivs 3.0 Chile
Except where otherwise noted, this item's license is described as Attribution-NonCommercial-NoDerivs 3.0 Chile