Intelligent Temperature Prediction Model for Plate Rolling

The temperature variation during plate rolling was simulated by using FEM.The simulation results were in good agreement with the measured values.BP neural network and Regression models were built based on the simulation results,and predictions about temperature variation were carried out by using the two models.The results showed that the neural network model was more accurate than the regression model,indicating that the neural network model can be applied to on-line temperature prediction during plate rolling.