基于人工神经网络的聚合物挤出胀大比预测  

Die Swell Ratio Prediction of Polymer Based on Artificial Neural Network

作　　者：何智慧[1] 马万珍[1] 王洪波[1] 郭洪飞[1] 

机构地区：[1]内蒙古工业大学材料科学与工程学院,内蒙古呼和浩特010051

出　　处：《塑料》2008年第2期100-102,28,共4页Plastics

摘　　要：在通过实验获得大量样本数据的基础上,利用Matlab语言与VB语言混合编程,开发了聚合物挤出胀大比预测软件。并利用BP网络建立不同口模挤出条件下挤出胀大比与剪切应力之间的关系来实现人工神经网络的训练。经过反复训练满意后,即可输入一系列剪切应力值来预测挤出胀大比。结果表明:网络的训练精度可控制在10-2以下,预测点与实测点吻合得较好,实现了由理论成果向应用技术的转化。Based on the data acquired by the experiment, prediction software of polymer die swell ratio was developed by mixing programming technique with Matlab language and VB language. And BP network was used to establish the relationship of die swell ratio to shearing stress under different die extrusion conditions to achieve training of artificial neural network. After repeated training reached the satisfied result, the die swell ratio was predicted by inputting a series of shearing stress value. The results showed that training accuracy of network could be controlled within 10-2. Forecasts point with the measured agree well with those points. The transformation of theoretical resuhs into application technology was realized.

关 键 词：人工神经网络 挤出胀大比 预测 

分 类 号：TB391.72[一般工业技术—材料科学与工程] TQ320.66[化学工程—合成树脂塑料工业]