dc.contributor.author | Echevarría Cartaya, Yuviny | |
dc.contributor.author | Blanco Viejo, Cecilio José | |
dc.contributor.author | Sánchez Ramos, Luciano | |
dc.date.accessioned | 2020-01-23T08:17:22Z | |
dc.date.available | 2020-01-23T08:17:22Z | |
dc.date.issued | 2019 | |
dc.identifier.citation | Engineering Applications of Artificial Intelligence, 86, p. 1-10 (2019); doi:10.1016/j.engappai.2019.08.013 | |
dc.identifier.issn | 0952-1976 | |
dc.identifier.uri | http://hdl.handle.net/10651/53677 | |
dc.description.sponsorship | This 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.extent | p. 1-10 | |
dc.language.iso | eng | |
dc.relation.ispartof | Engineering Applications of Artificial Intelligence | |
dc.rights | ©, | |
dc.rights | CC Reconocimiento - No Comercial - Sin Obra Derivada 4.0 Internacional | |
dc.rights.uri | http://creativecommons.org/licenses/by-nc-nd/4.0/ | |
dc.source | Scopus | |
dc.source.uri | https://www.scopus.com/inward/record.uri?eid=2-s2.0-85071544294&doi=10.1016%2fj.engappai.2019.08.013&partnerID=40&md5=f93f04b644c97942e40adfe42c6828c7 | |
dc.title | Learning human-understandable models for the health assessment of Li-ion batteries via Multi-Objective Genetic Programming | |
dc.type | journal article | |
dc.identifier.doi | 10.1016/j.engappai.2019.08.013 | |
dc.relation.projectID | Eureka SD project/2013-2591 | |
dc.relation.projectID | Principado de Asturias/ FC-GRUPIN-IDI/2018/000226 | |
dc.relation.publisherversion | http://dx.doi.org/10.1016/j.engappai.2019.08.013 | |
dc.rights.accessRights | open access | |
dc.type.hasVersion | AM | |