摘要
以注塑制品的张力系数为研究对象,将人工神经网络中的反向传播算法(简称BP模型)应用于张力系数的预测,并将其结果与用多元回归分析方法计算的结果进行比较,以分析人工神经网络在注塑机控制应用中的优越性及其应用前景。
In this paper tensile modulus values of molded part is chosen as the research object and B-P neural network is used for predicting tensile modulus,and the result is compared with multivariate regression analysis method in common use to analyze and examine the application prospect and advantage of ANN method in the injection molded plastics industry field.
出处
《机械工程与自动化》
2004年第6期23-25,共3页
Mechanical Engineering & Automation
关键词
人工神经网络
注塑机
张力系数
反向传播模型
多元回归分析
artificial neural networks
injection machine
tensile modulus
back propagation model
multivariate regression analysis
