Injection Material Selection Method Based on Optimizing Neural Network

Abstract

Injection molding materials selection based on neural network has broad application prospects in material selection problem. This paper puts forward a PSO-H-BP algorithm and applies to injection material selection on the basis of traditional BP algorithm. This method uses Hopfield network which optimized by particle swarm algorithm for original data pretreatment then selects material by BP network. The MATLAB simulation and result shows that: this method has higher classification accuracy and good expansibility compared with traditional BP neural network and H- BP neural network.