摘要
应用人工神经网络技术建立了注塑工艺参数值快速预测的双层BP网络模型。利用CAE软件进行模拟 ,获取训练样本。用Matlab语言编制了应用程序 ,对网络的训练及参数预测的过程进行求解。将网络预测结果与模拟所得验证数据进行比较和误差分析 ,显示出BP网络的稳定性和可靠性。经实例验证 。
In this paper a two layer BP network model for the rapid prediction of injection parametric values is established by using the artificial neural network The training data were acquired through the CAE simulation,and the application program is written in Matlab engineering computing language The comparison and error analysis were carried out between the networks predictive results and the testing data from CAE simulation,showing the stability and reliability of BP network in the prediction This expresses the fact that it is feasible for the artificial neural network to be used in fast prediction of the injection parametric values
出处
《塑料工业》
CAS
CSCD
北大核心
2003年第10期26-28,33,共4页
China Plastics Industry
基金
教育部科技研究重点项目
江西省科委科技项目资助 (Z1891)
