Robotics & Machine Learning Daily News2024,Issue(Jul.19) :48-49.

New Machine Learning Findings from University of Science and Technology Beijing Outlined (The Design Method for Surface Texture of Sliding Friction Pairs Based On Machine Learning Under Mixed Lubrication)

Robotics & Machine Learning Daily News2024,Issue(Jul.19) :48-49.

New Machine Learning Findings from University of Science and Technology Beijing Outlined (The Design Method for Surface Texture of Sliding Friction Pairs Based On Machine Learning Under Mixed Lubrication)

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Abstract

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 out of Beijing, People’s Re public of China, by NewsRx editors, research stated, “Surface textureplays an i mportant role in reducing friction, which has been widely applied in mechanical equipment. Inthis paper, a surface texture design method for sliding friction p airs based on machine learning is proposed,which consists of three parts: model training and construction, texture design and result verification.”

Key words

Beijing/People’s Republic of China/Asi a/Cyborgs/Emerging Technologies/Machine Learning/University of Science and T echnology Beijing

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出版年

2024
Robotics & Machine Learning Daily News

Robotics & Machine Learning Daily News

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