摘要
为了提高铜板带轧轧制力的计算精度,本文将BP神经网络结合L-M算法用于铜板带冷轧轧制力的预报,并与以Bland-Ford公式为基础的冷轧力预报进行对比分析,实验结果表明本文的方法具有较高的计算精度。
In ordet to improve the precision of cold rollong force ,this paper focus on the cold rolling force prediction based on BPNN and L-M algorithm. Analysis and comparison with the precision based on Bland-Ford formula, the results show that the new rolling force prediction had higher accuracy.
出处
《电气技术》
2009年第9期86-88,共3页
Electrical Engineering
关键词
铜板带
轧制力
BP神经网络
L-M算法
copper strip
rollong force
BPNN
levenberg-manquardt algorithm
