人工神经网络在滚子齿式凸轮分度装置CAPP系统中的应用  

Application of artificial neural network in rolling teeth indexing cam mechanism CAPP system

作　　者：孙波[1] 王辉[1] 房亚东[1] 王涛[2] 唐春艳[2] 

机构地区：[1]西安工业大学机电工程学院,西安710032 [2]陕西科技大学机电工程学院,西安710021

出　　处：《机械设计与制造》2009年第10期69-71,共3页Machinery Design & Manufacture

基　　金：国家自然科学基金项目(50405029);陕西省科技攻关项目(2007K05-11)

摘　　要：重点论述了耦合ART(Adaptive Resonance Theory)网络和实例推理技术在滚子齿式凸轮分度装置CAPP系统中对工艺决策问题的研究思路,从设计原理和编码的实现两个方面阐述了系统工艺决策这一核心模块的实现方法,将ART网络和实例推理结合起来探讨工艺决策模型的推理实现,为滚子齿式凸轮分度装置CAPP系统的智能化发展提供了一定的理论和实践基础。It mainly discusses process decision problem based on coupled with ART（Adaptive Resonance Theory） networks and case-based reasoning technology in rolling teeth indexing cam mechanism CAPP system. It introduces the completion method of process decision which is a core module for system from two sides of design principle and completion of code. Besides ,ARTnetworks and case-based reasoning are integrated in discussing the completion for Reasoning of process decision model,and it provides certain theory and practice basis for intelligent development of rolling teeth indexing cam mechanism CAPP system.

关 键 词：工艺决策 人工神经网络 CAPP 

分 类 号：TH16[机械工程—机械制造及自动化] TH112.2