首页|Findings from Northwestern Polytechnic University Yields New Findings on Machine Learning (A Yield Strength Prediction Framework for Refractory High-entropy All oys Based On Machine Learning)
Findings from Northwestern Polytechnic University Yields New Findings on Machine Learning (A Yield Strength Prediction Framework for Refractory High-entropy All oys Based On 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 outof Xi’an, People’s Republic of China , by NewsRx editors, research stated, “Machine learning has beenwidely applied to materials research with the development of artificial intelligence. Here, a n ew frameworkmainly based on the LightGBM algorithm was proposed, which predicte d the yield strength of refractoryhigh-entropy alloys (RHEAs) in various temper atures.”
Xi’anPeople’s Republic of ChinaAsiaAlloysCyborgsEmerging TechnologiesMachine LearningNorthwestern Polytech nic University
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