New Support Vector Machines Study Findings Reported from Xi’anTechnological Uni versity (Research On Intelligent Prediction of Surface Roughness In Cutting 42cr mo Steel By Using Particle Swarm Optimization-based Support Vector Machine)

Robotics & Machine Learning Daily News2024，Issue(Aug.13) ：90-91.

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New Support Vector Machines Study Findings Reported from Xi’anTechnological Uni versity (Research On Intelligent Prediction of Surface Roughness In Cutting 42cr mo Steel By Using Particle Swarm Optimization-based Support Vector Machine)

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Abstract

By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News – Researchers detail new data in Support Vector Machines. According to news reportingfrom Shaanxi, People’s Republic of China, by NewsRx journalists, research stated, “42CrMo high-strengthsteel is a material that is difficult to machine and has difficulties controlling the qual ity of the machinedsurface. To ensure the stability of surface quality during c utting, lead the adjustment of cutting parametersto accurately predict the 42Cr Mo steel’s machined surface roughness (Ra).”

Key words

Shaanxi/People’s Republic of China/Asi a/Emerging Technologies/Machine Learning/Particle Swarm Optimization/Support Vector Machines/Vector Machines/Xi’an Technological University

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出版年

2024

Robotics & Machine Learning Daily News

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