首页|New Findings from Shanghai Jiao Tong University in the Area of Machine Learning Described (Accelerated Design of Al-zn-mg-cu Alloys Via Machine Learning)
New Findings from Shanghai Jiao Tong University in the Area of Machine Learning Described (Accelerated Design of Al-zn-mg-cu Alloys Via Machine Learning)
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By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News – New research on Machine Learning is th e subject of a report. According to news originating from Shanghai, People’s Rep ublic of China, by NewsRx correspondents, research stated, “A machine learning-b ased alloy rapid design system (ARDS) was proposed to customize the preparation strategies for the desired properties or predict the alloy properties following the preparation strategies. For achieving this, three regression algorithms: lin ear regression (LR), support vector regression (SVR), and back propagation neura l network (BPNN), were employed separately to train the multi-property predictio n model, in which the machine learning (ML) model built using SVR was proved to be the best.” Funders for this research include National Key Research and Development Program of China, National Natural Science Foundation of China (NSFC).
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