首页|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)
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)
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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.”
BeijingPeople’s Republic of ChinaAsi aCyborgsEmerging TechnologiesMachine LearningUniversity of Science and T echnology Beijing
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