首页|Studies from University of Kiel Add New Findings in the Area of Machine Learning (Small-sample-learning-based Lithium-ion Batteries Health Assessment: an Optimi zed Ensemble Framework)
Studies from University of Kiel Add New Findings in the Area of Machine Learning (Small-sample-learning-based Lithium-ion Batteries Health Assessment: an Optimi zed Ensemble Framework)
扫码查看
点击上方二维码区域，可以放大扫码查看
原文链接
NETL
NSTL
By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News – Current study results on Machine Learn ing have been published. According to newsreporting from Kiel, Germany, by News Rx journalists, research stated, “Machine Learning is widely studiedin battery state of health (SOH) estimation due to its advantage in establishing the non-li near mappingbetween measurements and SOH. However, the requirement of a big dat aset and the lack of robustnesslimit the practical application, especially in s mall sample learning.”
KielGermanyEuropeCyborgsEmerging TechnologiesMachine LearningUniversity of Kiel
NETL
NSTL
