Robotics & Machine Learning Daily News2024,Issue(Dec.18) :66-66.

Studies from University of Science and Technology Beijing Update Current Data on Machine Learning (Interpretable Prediction of Remanence In Sintered Ndfeb Throu gh Machine Learning Strategy)

Robotics & Machine Learning Daily News2024,Issue(Dec.18) :66-66.

Studies from University of Science and Technology Beijing Update Current Data on Machine Learning (Interpretable Prediction of Remanence In Sintered Ndfeb Throu gh Machine Learning Strategy)

扫码查看

Abstract

By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News – Research findings on Machine Learning are discussed in a new report. According tonews reporting from Beijing, People’ s Republic of China, by NewsRx journalists, research stated, “Theeffects of com position on magnetic properties of sintered NdFeB are generally revealed by tria l-anderrormethod, which is actually time-consuming and resource-intensive. It has been demonstrated thatdata-driven machine learning (ML) strategy has a grea t potential in accelerating processes of materialresearch.”

Key words

Beijing/People’s Republic of China/Asi a/Cyborgs/Emerging Technologies/Machine Learning/University of Science and T echnology Beijing

引用本文复制引用

出版年

2024
Robotics & Machine Learning Daily News

Robotics & Machine Learning Daily News

ISSN:
段落导航相关论文