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使用多头注意力回归模型预测烧结的NdFeB磁铁的性能

Qichao Liang1,2, Qiang Ma3, Hao Wu4

  • 1Department of Rare Earth, Jiangxi University of Science and Technology, Ganzhou, 341000, China. qichaoliang1984@163.com.

Scientific reports
|November 21, 2024
PubMed
概括

一个新的多头注意力回归模型提高了合成合铁 (NdFeB) 磁铁的效率. 这种机器学习方法提高了数据处理和材料性质的预测准确性.

关键词:
深度学习是一种深度学习.机器学习是机器学习.多头自我注意力机制.烧结的NdFeB是一种合材料.在XGBoost中使用.

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