五机架冷连轧机轧制力人工神经网络预报

PREDICTION ON FIVE-STAND COLD ROLLING MILL OF ROLLING FORCE BY NEURAL NETWORK

采用改进的 BP网络 L evenberg- Marquardt优化算法对冷连轧机轧制力进行快速预报 ,该网络 μ参量可自适应调整 ,收敛速度快。冷连轧生产轧制力预报精度大为提高 。

The improved BP neural network, which adopted Levenberg Marquardt optimized algorithm has been used to predict rolling force on cold rolling mill In this algorithm, the parameter μ can be adaptively adjusted, the network convergence speed is higher The precision of rolling force prediction has been improved It has provided a new precise and high efficiency way for rolling force prediction on cold rolling mills