Robotics & Machine Learning Daily News2024,Issue(Sep.24) :81-81.

Study Results from Harbin University Broaden Understanding of Support Vector Mac hines (Predictive Modeling of Thermal Displacement for High-speed Electric Spind le)

Robotics & Machine Learning Daily News2024,Issue(Sep.24) :81-81.

Study Results from Harbin University Broaden Understanding of Support Vector Mac hines (Predictive Modeling of Thermal Displacement for High-speed Electric Spind le)

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Abstract

By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News – New research on Support Vector Machines is the su bject of a report. According to news reporting originating from Harbin, People’s Republic of China, by NewsRx correspondents, research stated, “Accurate, effici ent and stable prediction of thermal displacements generated during spindle mach ining is essential for improving machining quality, increasing economic efficien cy and ensuring production safety. Aiming at the existing thermal displacement p rediction models with low precision and poor robustness, this paper put forward a prediction model based on the Bald Eagle Search (BES) algorithm optimized Leas t Squares Support Vector Machine (LSSVM).”

Key words

Harbin/People’s Republic of China/Asia/Algorithms/Emerging Technologies/Machine Learning/Support Vector Machines/Vector Machines/Harbin University

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出版年

2024
Robotics & Machine Learning Daily News

Robotics & Machine Learning Daily News

ISSN:
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