Reports on Support Vector Machines Findings from University of Science and Technology Beijing Provide New Insights (Research on surface defect identification of steel balls based on improved K-CV parameter optimization support vector machine)

Robotics & Machine Learning Daily News2024，Issue(Jan.10) ：6-7.

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Reports on Support Vector Machines Findings from University of Science and Technology Beijing Provide New Insights (Research on surface defect identification of steel balls based on improved K-CV parameter optimization support vector machine)

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Abstract

By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews - Research findings on are discussed in a new report. According to news originating from Beijing,People’s Republic of China, by NewsRx correspondents, research stated, “Surface defects generated duringthe production process of steel balls can lead to bearing failures, which makes it crucial to promptly detectand classify these defects.”

Key words

University of Science and Technology Beijing/Beijing/People’s Republic of China/Asia/Algorithms/Emerging Technologies/Machine Learning/Support Vector Machines/Vector Machines

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出版年

2024

Robotics & Machine Learning Daily News

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