首页|Reports on Machine Learning from Zhengzhou University Provide New Insights (Fati gue Life Prediction of the Fcc-based Multiprincipal Element Alloys Via Domain K nowledge-based Machine Learning)
Reports on Machine Learning from Zhengzhou University Provide New Insights (Fati gue Life Prediction of the Fcc-based Multiprincipal Element Alloys Via Domain K nowledge-based Machine 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 from Zhengzhou, People’s Republic of China, by NewsRx correspondents, research stated, “We propo se a machine learning (ML) model to predict the fatigue life of multi -principal element alloys (MPEAs) by extracting features from empirical formulas. The mode l is built on XGBoost and GBDT, and outperforms the single ML model, with almost all predictions lying in the +/- 2 error bands and the relative error not excee ding 0.16 in the extrapolation test.”
ZhengzhouPeople’s Republic of ChinaA siaAlloysCyborgsEmerging TechnologiesMachine LearningZhengzhou University
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