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Learning human-understandable models for the health assessment of Li-ion batteries via Multi-Objective Genetic Programming

dc.contributor.authorEchevarría Cartaya, Yuviny
dc.contributor.authorBlanco Viejo, Cecilio José 
dc.contributor.authorSánchez Ramos, Luciano 
dc.date.accessioned2020-01-23T08:17:22Z
dc.date.available2020-01-23T08:17:22Z
dc.date.issued2019
dc.identifier.citationEngineering Applications of Artificial Intelligence, 86, p. 1-10 (2019); doi:10.1016/j.engappai.2019.08.013
dc.identifier.issn0952-1976
dc.identifier.urihttp://hdl.handle.net/10651/53677
dc.description.sponsorshipThis work was partially funded by the Eureka SD project, Spain (Agreement no. 2013-2591), which is supported by the EU's Erasmus Mundus programme, Spain. It also received funding from the Spanish Ministry of Science and Innovation (MICINN) under Grants TIN2017-84804-R, TEC2016-80700-R and DPI2013-46541-R and by the Government of the Principality of Asturias, Spain under grant FC-GRUPIN-IDI/2018/000226.
dc.format.extentp. 1-10
dc.language.isoeng
dc.relation.ispartofEngineering Applications of Artificial Intelligence
dc.rights©,
dc.rightsCC Reconocimiento - No Comercial - Sin Obra Derivada 4.0 Internacional
dc.rights.urihttp://creativecommons.org/licenses/by-nc-nd/4.0/
dc.sourceScopus
dc.source.urihttps://www.scopus.com/inward/record.uri?eid=2-s2.0-85071544294&doi=10.1016%2fj.engappai.2019.08.013&partnerID=40&md5=f93f04b644c97942e40adfe42c6828c7
dc.titleLearning human-understandable models for the health assessment of Li-ion batteries via Multi-Objective Genetic Programming
dc.typejournal article
dc.identifier.doi10.1016/j.engappai.2019.08.013
dc.relation.projectIDEureka SD project/2013-2591
dc.relation.projectIDPrincipado de Asturias/ FC-GRUPIN-IDI/2018/000226
dc.relation.publisherversionhttp://dx.doi.org/10.1016/j.engappai.2019.08.013
dc.rights.accessRightsopen access
dc.type.hasVersionAM


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