New Machine Learning Study Findings Have Been Reported by Researchers at Univers ity of Science and Technology Beijing (Predicting Friction Coefficient of Textur ed 45# Steel Based On Machine Learning and Analytical Calculation)

Robotics & Machine Learning Daily News2024，Issue(MAY.27) ：53-54.

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New Machine Learning Study Findings Have Been Reported by Researchers at Univers ity of Science and Technology Beijing (Predicting Friction Coefficient of Textur ed 45# Steel Based On Machine Learning and Analytical Calculation)

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Abstract

By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News-New research on Machine Learning is th e subject of a report. According to news originating from Beijing, People's Repu blic of China, by NewsRx correspondents, research stated, "This paper aims to fi nd the best method to predict the friction coefficient of textured 45# steel by comparing different machine learning algorithms and analytical calculat ions. Design/methodology/approach - Five machine learning algorithms, including K-nearest neighbor, random forest, support vector machine (SVM), gradient boosti ng decision tree (GBDT) and artificial neural network (ANN), are applied to pred ict friction coefficient of textured 45# steel surface under oil l ubrication."

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

ISSN：

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