Findings from China Iron and Steel Research Institute Group Provide New Insights into Machine Learning (Prediction of Magnetocaloric Properties of Fe-based Amorphous Alloys Based On Interpretable Machine Learning)
Beijing;
Emerging Technologies;
Asia;
Alloys;
People’s Republic of China;
Machine Learning;
China Iron and Steel Research Institute Group;
Cyborgs;
期刊名称：
Robotics & Machine Learning Daily News
i s s n：
年卷期：
2024 年
Feb.6 期
页 码：
88-88
页 码：
摘 要：
Investigators publish new report on Machine Learning. According to news reporting originating from Beijing, People’s Republic of China, by NewsRx correspondents, research stated, “This study developed a machine learning model to accurately predict the isothermal magnetic entropy change (-SM) in amorphous alloys, a key parameter for evaluating magnetocaloric performance. Four machine learning algorithms were compared, and the (Extremely Randomized Trees) ETR algorithm demonstrated exceptional performance with an (R-squared) R2 value of 0.90 and a (Mean Absolute Percentage Error) MAPE of 13.31 % on the test set.” Financial support for this research came from National Key Research and Development Program of China.
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