Robotics & Machine Learning Daily News2024,Issue(Oct.10) :79-80.

Studies from Tianjin University of Technology Have Provided New Information abou t Machine Learning (Research On the Remaining Useful Life Prediction Method of E nergy Storage Battery Based On Multimodel Integration)

Robotics & Machine Learning Daily News2024,Issue(Oct.10) :79-80.

Studies from Tianjin University of Technology Have Provided New Information abou t Machine Learning (Research On the Remaining Useful Life Prediction Method of E nergy Storage Battery Based On Multimodel Integration)

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Abstract

By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News – Investigators publish new report on Ma chine Learning. According to news reporting originating in Tianjin, People’s Rep ublic of China, by NewsRx journalists, research stated, “The remaining useful li fe (RUL) of lithium-ion batteries (LIBs) needs to be accurately predicted to enh ance equipment safety and battery management system design. Currently, a single machine learning approach (including an improved machine learning approach) has poor generalization performance due to stochasticity, and the combined predictio n approach lacks sufficient theoretical support at the same time.”

Key words

Tianjin/People’s Republic of China/Asi a/Cyborgs/Emerging Technologies/Machine Learning/Tianjin University of Techn ology

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出版年

2024
Robotics & Machine Learning Daily News

Robotics & Machine Learning Daily News

ISSN:
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