首页|Investigators from Shandong University of Technology Report New Data on Support Vector Machines (Ai-based Modeling and Multiobjective Optimization of Ultraviol et Nanosecond Laser-machined Sapphire)
Investigators from Shandong University of Technology Report New Data on Support Vector Machines (Ai-based Modeling and Multiobjective Optimization of Ultraviol et Nanosecond Laser-machined Sapphire)
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By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News-Investigators publish new report on Ma chine Learning-Support Vector Machines. According to news reporting from Zibo, People's Republic of China, by NewsRx journalists, research stated, "This study presents a two-step methodology, integrating support vector machine (SVM) and n on-dominated sorting genetic algorithm II (NSGA-II) to model and optimize machin ing characteristics in laser-machined sapphire. In the first step, SVM was emplo yed to predict the machined depth and surface roughness of sapphire substrates e xposed to ultraviolet (UV) nanosecond laser pulses." Funders for this research include National Key R&D Program of China,Natural Science Foundation of Shandong Province, Taishan Scholar Programme of Shandong Province, China Scholarship Council.
ZiboPeople's Republic of ChinaAsiaMachine LearningSupport Vector MachinesShandong University of Technology
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