Learning human-understandable models for the health assessment of Li-ion batteries via Multi-Objective Genetic Programming
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Fecha de publicación:
2019
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Citación:
Engineering Applications of Artificial Intelligence, 86, p. 1-10 (2019); doi:10.1016/j.engappai.2019.08.013
Descripción física:
p. 1-10
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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.
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