New Machine Learning Findings from Shandong University Published (Parameter Opti mization of a Surface Mechanical Rolling Treatment Process to Improve the Surfac e Integrity and Fatigue Property of FV520B Steel by Machine Learning)

Robotics & Machine Learning Daily News2024，Issue(Oct.14) ：29-29.

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New Machine Learning Findings from Shandong University Published (Parameter Opti mization of a Surface Mechanical Rolling Treatment Process to Improve the Surfac e Integrity and Fatigue Property of FV520B Steel by Machine Learning)

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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 ar tificial intelligence. According to news originating from Weihai, People’s Repub lic of China, by NewsRx correspondents, research stated, “Surface integrity is a critical factor that affects the fatigue resistance of materials.” Funders for this research include Natural Science Foundation of Shandong Provinc e; National Natural Science Foundation of China.

Key words

Shandong University/Weihai/People’s Re public of China/Asia/Cyborgs/Emerging Technologies/Machine Learning/Support Vector Machines/Vector Machines

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出版年

2024

Robotics & Machine Learning Daily News

ISSN：

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