首页|Reports Summarize Machine Learning Study Results from University of Science and Technology Beijing (Thermodynamic Calculationassisted Design of 500 Mpa High Pe rformance Steel By Machine Learning)
Reports Summarize Machine Learning Study Results from University of Science and Technology Beijing (Thermodynamic Calculationassisted Design of 500 Mpa High Pe rformance Steel By Machine Learning)
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By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News – A new study on Machine Learning is now available. According to news reporting fromBeijing, People’s Republic of China , by NewsRx journalists, research stated, “In order to rationally designQ500 lo w-alloy wind power steel with stable microstructure and properties within a larg e cooling raterange, this study proposed a design system that utilizes thermody namic database, machine learning (ML),and the multi-objective genetic optimizat ion algorithm (MOGA). Thermodynamic calculation has beenused to obtain a large amount of data on phase fractions and mechanical properties for various chemicalcomposition at different cooling rates.”
BeijingPeople’s Republic of ChinaAsi aCyborgsEmerging TechnologiesMachine LearningUniversity of Science and T echnology Beijing
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