Application of BP Networks Based on Genetic Simulated Annealing Algorithm for the Quality Prediction

The accuracy of warpage prediction is the difficulty in injection molding optimization.Taking wrap of plastic part as the study object,the paper set up the numerical simulation experiment with selecting injection temperature,mold temperature,packing pressure,packing time,injection speed as the experimental parameters,based on the simulation experiment,created the BP neural network prediction model for warpage.Due to the trap in local defects,a BP network optimized by genetic simulated annealing algorithm to improve the accuracy of warpage prediction was designed,comparing the prediction accuracy.The results show that the optimized BP network can not only speed up convergence rate,but also enhance the global searching ability,the accuracy of the optimized BP network is higher than that of BP network.