Prediction of rolling force for two-stand steckel millbased on PSO-BP neural network
To predict the rolling force of the two-stand steckel mill efficiently and make the hot rolled plate and strip easy to produce,the intelligent model of rolling force prediction for the two-stand steckel mill was established with the BP neural network optimized by the particle swarm optimization (PSO) algorithm.The data of the hot rolled product Q195 steel produced at a steel plant were taken as the experimental samples, and the BP neural network model of particle swarm optimization and the standard BP neural network model were used for rolling force prediction.The results showed that the prediction accuracy of the PSO-BP neural network model was better than that of the standard BP network model obviously,and the error rate of the rolling force predicted by the PSO-BP neural network model was controlled within 10 %.
two-stand steckel millparticle swarmBP neural networksrolling force
NETL
NSTL
万方数据
维普
