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人工神经网络在注塑机控制中的应用
Application of Artificial Neural Networks in Control System of Injection
【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。
【Abstract】 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.
【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;
【Key words】 artificial neural networks; injection machine; tensile modulus; back propagation model; multivariate regression analysis;
【Key words】 artificial neural networks; injection machine; tensile modulus; back propagation model; multivariate regression analysis;
- 【文献出处】 机械工程与自动化 ,Mechanical Engineering & Automation , 编辑部邮箱 ,2004年06期
- 【分类号】TQ320.52
- 【被引频次】1
- 【下载频次】122