首页|Research Reports on Machine Learning from Harbin Institute of Technology Provide New Insights (Prediction improvement of compressive strength and strain of dire ctionally solidified TiAl alloy based on training data size adjustment)
Research Reports on Machine Learning from Harbin Institute of Technology Provide New Insights (Prediction improvement of compressive strength and strain of dire ctionally solidified TiAl alloy based on training data size adjustment)
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By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News – Current study results on artificial in telligence have been published. According to news reporting originating from Har bin, People’s Republic of China, by NewsRx correspondents, research stated, “Com pressive strength and compressive strain, which are important mechanical propert ies of directionally solidified TiAl alloy, were predicted using machine learnin g algorithms, specifically Multiple Linear Regression (MLR), and Random Forest R egression (RFR).”
Harbin Institute of TechnologyHarbinPeople’s Republic of ChinaAsiaCyborgsEmerging TechnologiesMachine Learning
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