首页|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)

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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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.”

BeijingPeople’s Republic of ChinaAsi aCyborgsEmerging TechnologiesMachine LearningUniversity of Science and T echnology Beijing

2024

Robotics & Machine Learning Daily News

Robotics & Machine Learning Daily News

ISSN:
年,卷(期):2024.(Jul.19)