Robotics & Machine Learning Daily News2024,Issue(Jul.4) :41-42.

Study Findings on Machine Learning Are Outlined in Reports from Taiyuan Universi ty of Science & Technology (Prediction of Hard Magnetic Properties for Melt-spun Nd2fe14b and Nd2fe14b/fe3b ...)

太原理工大学的报告(熔纺Nd2fe14b和Nd2fe14b/fe3b硬磁性能预测)概述了机器学习的研究结果

Robotics & Machine Learning Daily News2024,Issue(Jul.4) :41-42.

Study Findings on Machine Learning Are Outlined in Reports from Taiyuan Universi ty of Science & Technology (Prediction of Hard Magnetic Properties for Melt-spun Nd2fe14b and Nd2fe14b/fe3b ...)

太原理工大学的报告(熔纺Nd2fe14b和Nd2fe14b/fe3b硬磁性能预测)概述了机器学习的研究结果

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摘要

机器人与机器学习每日新闻的一位新闻记者兼新闻编辑-机器学习的最新研究结果已经发表。根据《中国人民日报》太原的新闻报道,NewsRx编辑的研究表明,“钕铁硼磁体的永磁性能在很大程度上取决于合金成分。机器学习是基于数学和信息科学方法,利用现有的钕铁硼数据预测钕铁硼材料的磁性能。”

Abstract

By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News – Current study results on Machine Learn ing have been published. According to news reporting out of Taiyuan, People’s Re public of China, by NewsRx editors, research stated, “The permanent magnetic pro perties of Nd-Fe-B magnets strongly depend on the alloy composition. Machine lea rning is based on mathematical and information science methods and uses existing Nd-Fe-B data to predict the magnetic properties of Nd-Fe-B materials.”

Key words

Taiyuan/People’s Republic of China/Asia/Cyborgs/Emerging Technologies/Machine Learning/Taiyuan University of Scien ce & Technology

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出版年

2024
Robotics & Machine Learning Daily News

Robotics & Machine Learning Daily News

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