基于实例推理及神经网络的CAPP系统开发工具  

A Capp Developing-tool Based on CBR and ANN

作　　者：纪云[1] 张河涛[1] 江平宇[1] 赵汝嘉[1] 

机构地区：[1]西安交通大学

出　　处：《中国机械工程》1996年第4期47-49,76,共4页China Mechanical Engineering

基　　金：国家自然科学基金青年基金

摘　　要：为适应工艺设计的经验性与多变性，简化并加快ＣＡＰＰ系统的开发，针对回转类零件研制基于实例推理的ＣＡＰＰ系统开发工具，并结合神经网络来解决实例推理中的一些关键环节和难点，从新的角度探讨ＣＡＰＰ系统开发工具的实现模式。实践表明，基于实例推理及神经网络的方法在解决ＣＡＰＰ系统开发工具这类工程问题中具有显著的优点。In order to adapt to the dependenceon experience and the polytropy of process planning, and to simplify and accelerate developingCAPP system,a CAPP developing-tool for rotationparts based on CBR(Case-Based Reasoning)is builtby the authors,in which the relevant theories andtechniques of ANN (Artificial Neural Networks)are introduced to resolve the key links and difficulties of CBR.Therefore the realizing mode of CAPPdeveloping-tool is approached from a new angle.Itis shown in practice that the method based on CBRand ANN is of great advantage for solving the engineering problems such as building a CAPP developing-tool.

关 键 词：CAPP 开发工具 神经网络 机械制造 

分 类 号：TH162[机械工程—机械制造及自动化] TP18[自动化与计算机技术—控制理论与控制工程]