Robotics & Machine Learning Daily News2024,Issue(Dec.3) :119-120.

Recent Research from Hunan University Highlight Findings in Machine Learning (Ac celerated Intelligent Prediction and Analysis of Mechanical Properties of Magnes ium Alloys Based On Scaled Super Learner Machine-learning Algorithms)

湖南大学最近的研究突出了机器学习的发现(基于比例超学习机器学习算法的镁合金力学性能智能预测与分析)

Robotics & Machine Learning Daily News2024,Issue(Dec.3) :119-120.

Recent Research from Hunan University Highlight Findings in Machine Learning (Ac celerated Intelligent Prediction and Analysis of Mechanical Properties of Magnes ium Alloys Based On Scaled Super Learner Machine-learning Algorithms)

湖南大学最近的研究突出了机器学习的发现(基于比例超学习机器学习算法的镁合金力学性能智能预测与分析)

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摘要

由一名新闻记者-机器人与机器学习日报的工作人员新闻编辑一项关于机器学习的新研究现已问世。据长沙新闻报道,中华人民共和国,NewsR X记者,研究称,"机器学习算法的使用"在1989年,镁(Mg)合金已经发展出一种轻量化的科学创新.日期t是收集实验数据,利用机器学习(ML)模型进行预测348镁合金的力学性能。

Abstract

By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews – A new study on Machine Learning is now available. According to news reporting from Changsha,People’s Republic of China, by NewsR x journalists, research stated, “The use of machine learning algorithmsin magne sium (Mg) alloys has evolved a scientific innovation for lightweight. The datase t wascompiled by collecting data from the experiment and utilizing machine lear ning (ML) models to predictthe mechanical properties of 348 Mg alloys.”

Key words

Changsha/People’s Republic of China/As ia/Algorithms/Alloys/Cyborgs/Emerging Technologies/Light Metals/Machine Le arning/Magnesium/Hunan University

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出版年

2024
Robotics & Machine Learning Daily News

Robotics & Machine Learning Daily News

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