遗传算法和BP神经网络在铜板带轧制力预测中的应用

Applications of GA and BPNN in Cold Rolling Force Prediction for Copper Strip

将BP神经网络结合遗传算法用于铜板带冷轧轧制力的预测,并与以Bland-Ford公式为基础的冷轧力预报及引入遗传算法前的网络预报结果进行对比分析,实验结果表明本文的方法具有较高的计算精度。

This paper focus on the cold rolling force prediction for copper strip based on BPNN and genetic algorithm. Analysis and comparison with the precision based on Bland-Ford formula and BPNN without Genetic Algorithm,the resuits show that the new rolling force prediction had higher accuracy.