首页|Study Results from Harbin University Broaden Understanding of Support Vector Mac hines (Predictive Modeling of Thermal Displacement for High-speed Electric Spind le)
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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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).”
HarbinPeople’s Republic of ChinaAsiaAlgorithmsEmerging TechnologiesMachine LearningSupport Vector MachinesVector MachinesHarbin University
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