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使用人工神经网络预测工业低碳热钢的机械性质

Saurabh Tiwari1, Hyoju Ahn1, Maddika H Reddy2

  • 1School of Materials Science and Engineering, Yeungnam University, Gyeongsan 38541, Republic of Korea.

Materials (Basel, Switzerland)
|July 12, 2025
PubMed
概括

这项研究应用了神经网络来预测低碳热钢的机械性能. 该模型使用组合和处理数据准确预测收益强度,最终抗拉强度和延伸.

关键词:
人工神经网络的人工神经网络线圈的目标温度是什么?延伸延伸 延伸延伸 延伸延伸完成滚动温度的完成滚动温度热钢带是热钢带的一种.低碳钢是一种低碳钢.机械属性预测和预测最终的抗拉强度是最终的抗拉强度.收益率强度的收益率强度是什么

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