The research on integrated neural networks in rolling load prediction system for temper mill

In order to improve the predicting precision of rolling load, a new approach is proposed in which artificial neural network is integrated with theoretical rolling load model, and deformation resistance can be predicted based on measured data. Moreover, traditional self-learning is involved in the system. The practice has proved that the new method can predict the rolling load on temper mill with a high precision.