首页|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)
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)
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 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. ”
ChengduPeople’s Republic of ChinaAsi aCyborgsEmerging TechnologiesMachine LearningSouthwest Jiaotong University
NETL
NSTL
