基于人工神经网络的注塑参数模拟预测系统  

Simulation and Prediction of Injection Parameters Based on Artificial Neural Network

作　　者：郑生荣[1] 辛勇[1] 杨国泰[1] 何成宏[1] 

机构地区：[1]南昌大学机电工程学院,南昌330029

出　　处：《计算机工程》2004年第16期4-6,共3页Computer Engineering

基　　金：教育部科技研究重点基金资助项目(0366);江西省科委科技基金资助项目(Z1891)

摘　　要：将CAE模拟与神经网络技术相结合,在Matlab环境下建立了注塑工艺参数模拟预测系统。将系统预测结果与模拟及实验验证结果进行比较和误差分析,显示出系统的稳定性和可靠性,表明了该系统具有工程实用价值。With the CAE simulation being combined with the artificial neural network technology, the simulation and prediction system is established under Matlab environment. The comparison and error analysis are carried out between the system's predictive results and the results from CAE simulation and experiment, it shows the stability and reliability of the system. This shows that it is feasible for the artificial neural network to be used in fast prediction of the injection parametric values.

关 键 词：人工神经网络 CAE MATLAB 注塑参数 预测系统 

分 类 号：TP311[自动化与计算机技术—计算机软件与理论]