首页|Reports on Machine Learning from Zhengzhou University Provide New Insights (Design of High Performance Cu-ni-si Alloys Via a Multiobjective Strategy Based On Ma chine Learning)
Reports on Machine Learning from Zhengzhou University Provide New Insights (Design of High Performance Cu-ni-si Alloys Via a Multiobjective Strategy Based On Ma chine Learning)
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By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News-Fresh data on Machine Learning are pre sented in a new report. According to news reporting originating in Zhengzhou, Pe ople’s Republic of China, by NewsRx journalists, research stated, “Herein, the u ltimate tensile strength and electrical conductivity of precipitation-strengthen ed Cu-Ni-Si alloys were simultaneously improved by utilizing a machine learning- based multiobjective design strategy. The multiobjective design strategy consist s of five main steps: creating the initial dataset, generating alloy features, s creening key alloy features, modeling and inversely designing, and experimental iteration.”
ZhengzhouPeople's Republic of ChinaAsiaAlloysCyborgsEmerging TechnologiesMachine LearningZhengzhou University
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