首页|New Findings from University of Science and Technology Beijing Update Understand ing of Machine Learning (Machine Learningbased Research On Tensile Strength of Sic-reinforced Magnesium Matrix Composites Via Stir Casting)
New Findings from University of Science and Technology Beijing Update Understand ing of Machine Learning (Machine Learningbased Research On Tensile Strength of Sic-reinforced Magnesium Matrix Composites Via Stir Casting)
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By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News – New research on Machine Learning is th e subject of a report. According to newsreporting out of Beijing, People’s Repu blic of China, by NewsRx editors, research stated, “SiC is themost common reinf orcement in magnesium matrix composites, and the tensile strength of SiC-reinfor cedmagnesium matrix composites is closely related to the distribution of SiC. A chieving a uniform distributionof SiC requires fine control over the parameters of SiC and the processing and preparation process.”
BeijingPeople’s Republic of ChinaAsi aCyborgsEmerging TechnologiesLight MetalsMachine LearningMagnesiumUn iversity of Science and Technology Beijing
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