首页|Studies from Xiangtan University Yield New Information about Machine Learning (Prediction Model for Corrosion Rate of Low-alloy Steels Under Atmospheric Conditions Using Machine Learning Algorithms)
Studies from Xiangtan University Yield New Information about Machine Learning (Prediction Model for Corrosion Rate of Low-alloy Steels Under Atmospheric Conditions Using Machine Learning Algorithms)
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By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News-Investigators publish new report on Machine Learn ing. According to news reporting from Xiangtan, People’s Republic of China, by N ewsRx journalists, research stated, “This work constructed a machine learning (M L) model to predict the atmospheric corrosion rate of low-alloy steels (LAS). Th e material properties of LAS, environmental factors, and exposure time were used as the input, while the corrosion rate as the output. 6 different ML algorithms were used to construct the proposed model.”
XiangtanPeople’s Republic of ChinaAsiaAlgorithmsCyborgsEmerging TechnologiesMachine LearningXiangtan University
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