Robotics & Machine Learning Daily News2024,Issue(Nov.29) :3-4.

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)

Robotics & Machine Learning Daily News2024,Issue(Nov.29) :3-4.

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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Abstract

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.”

Key words

Xi’an/People’s Republic of China/Asia/Alloys/Cyborgs/Emerging Technologies/Machine Learning/Northwestern Polytech nic University

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出版年

2024
Robotics & Machine Learning Daily News

Robotics & Machine Learning Daily News

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