Findings from Metals & Materials Engineering Department in Machine Learning Reported (An Experimental Investigation and Predictive Modeling Using Machine Learning Technique for Reclamation of Metal Values From Scrap Ndfeb Magn ets)

金属与材料工程系机器学习研究报告(利用机器学习技术回收废钕铁硼磁合金金属值的实验研究和预测建模)

Robotics & Machine Learning Daily News2024，Issue(Nov.27) ：3-4.

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Findings from Metals & Materials Engineering Department in Machine Learning Reported (An Experimental Investigation and Predictive Modeling Using Machine Learning Technique for Reclamation of Metal Values From Scrap Ndfeb Magn ets)

金属与材料工程系机器学习研究报告(利用机器学习技术回收废钕铁硼磁合金金属值的实验研究和预测建模)

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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每日新闻-机器学习的最新研究结果已经发表。根据NewsRx记者从印度Jamshedpur进行的新闻报道，研究称，“钕铁硼”(NdFeB)磁体由于其优异的磁性,广泛应用于各个行业高矫顽力、剩磁和最大能量积。这些磁铁含有稀土元素(REEs)即钕（Nd）、镨（Pr）和镝（Dy）以及其他金属。

Abstract

By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News – Current study results on Machine Learn ing have been published. According tonews reporting from Jamshedpur, India, by NewsRx journalists, research stated, “Neodymium-Iron-Boron(NdFeB) magnets are w idely used in various industries due to their exceptional magnetic properties, s uchas high coercivity, remanence, and maximum energy product. These magnets con sist of rare earth elements(REEs) viz., neodymium (Nd), praseodymium (Pr), and Dysprosium (Dy), along with other metals.”

Key words

Jamshedpur/India/Asia/Cyborgs/Emergi ng Technologies/Machine Learning/Metals & Materials Engineering Department

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出版年

2024

Robotics & Machine Learning Daily News

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