首页|New Findings from Zhengzhou University in Machine Learning Provides New Insights (Inversely Optimized Design of Al-mg-si Alloys Using Machine Learning Methods)
New Findings from Zhengzhou University in Machine Learning Provides New Insights (Inversely Optimized Design of Al-mg-si Alloys Using Machine Learning Methods)
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By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News – Current study results on Machine Learn ing have been published. According to newsreporting originating in Zhengzhou, P eople’s Republic of China, by NewsRx journalists, research stated,“In this stud y, the previously reported inverse design strategy for simultaneously optimizing two propertiesof copper alloys was expanded to concurrently optimize three pro perties of Al-Mg-Si alloys. Following thisstrategy, 180 input features based on alloy compositions and corresponding physicochemical parameterswere constructe d.”
ZhengzhouPeople’s Republic of ChinaA siaAlloysCyborgsEmerging TechnologiesMachine LearningZhengzhou Univers ity
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