基于ANN的箱体类零件CAPP系统的工艺决策  

The Technical Decision of Box Parts CAPP System Based on Artificial Neural Network

作　　者：孙波[1] 宋保华[1] 杨莉[1] 神显豪[1] 

机构地区：[1]陕西科技大学机电工程学院,陕西咸阳712081

出　　处：《轻工机械》2005年第1期71-73,共3页Light Industry Machinery

摘　　要：将ANN(Artificial Neural Network,人工神经网络)应用于箱体类零件的CAPP系统中,简化了零件的识别和分类。工艺决策是CAPP系统的关键部分,文中探索了一种有效的工艺决策,使箱体类零件的CAPP系统的工艺决策更容易、方便。This article uses artificial neural network on boxlike part CAPP system. It can simplify the signal identification and classification of boxlike parts. Technology decision is a key technique of CAPP system. In this paper, the author has explored an efficient method of technical decision, thus the technical decision of boxlike part CAPP system can be easier and more convenient.

关 键 词：CAPP系统 工艺决策 箱体类零件 简化 ANN 

分 类 号：TH162[机械工程—机械制造及自动化] TG661[金属学及工艺—金属切削加工及机床]