Robotics & Machine Learning Daily News2024,Issue(MAY.16) :78-78.

New Findings on Machine Learning Described by Investigators at Southwest Jiaoton g University (Crash Energy Management Optimization of High-speed Trains By Machi ne Learning Methods)

Robotics & Machine Learning Daily News2024,Issue(MAY.16) :78-78.

New Findings on Machine Learning Described by Investigators at Southwest Jiaoton g University (Crash Energy Management Optimization of High-speed Trains By Machi ne Learning Methods)

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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 from Chengdu, People’s R epublic of China, by NewsRx correspondents, research stated, “With the increasin g speed of railway vehicles, the intricacies inherent in train collision systems pose challenges in the rational allocation of energy during collision events. I n this study, an efficient strategy for train crash energy management was propos ed by integrating machine learning and the multi -objective optimization method. ”

Key words

Chengdu/People’s Republic of China/Asi a/Cyborgs/Emerging Technologies/Machine Learning/Southwest Jiaotong University

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出版年

2024
Robotics & Machine Learning Daily News

Robotics & Machine Learning Daily News

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