Research of steel plate temperature prediction based on the improved PSO-ANN algorithm for Roller Hearth Normalizin Furnace

摘要

In this paper, mathematical model for heat treatment is constructed according to the process requirement of Roller-hearth Normalizing Furnace. Based on the intelligent control theory of neural network and particle swarm algorithms, the improved PSO–ANN model is established and simulated using lots of data acquired from the site. The result indicates the improved PSO–ANN model can raise the precision of plate temperature, predicated speed, and precision of control. It is proved that this model has good application future.