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基于实例推理在CAPP系统开发中的应用
引用本文:邓瑞清,蔡颖.基于实例推理在CAPP系统开发中的应用[J].农机化研究,2005(6):241-243.
作者姓名:邓瑞清  蔡颖
作者单位:北京理工大学,机械与车辆工程学院,北京,100081
摘    要:基于实例推理(Case-BasedReasoning,简称CBR)是人工智能中的一种重要而有效的推理技术。在研究基于实例推理基本原理的基础上,建立了CBR的工艺规划模型,确定了基于实例的推理过程以及实例的提取过程。依据这样的原理,以BITCAPP为应用背景,描述了CBR技术在CAPP中的应用。

关 键 词:计算机应用  计算机辅助工艺设计(CAPP)  应用  基于实例推理(CBR)
文章编号:1003-188X(2005)06-0241-03
收稿时间:2004-11-07
修稿时间:2004年11月7日

Application of CBR in Developing CAPP System
DENG Rui-qing,CAI Ying.Application of CBR in Developing CAPP System[J].Journal of Agricultural Mechanization Research,2005(6):241-243.
Authors:DENG Rui-qing  CAI Ying
Abstract:Case-Based Reasoning is an important and effective inference technology in artificial intelligence. Based on the research of the basic principle of CBR (Case-based Reasoning),a process planning model based on CBR is founded, the process of CBR and withdrawing cases are determined. According to this kind of basic principle, CBR is applied in BITCAPP, and describe the application of CBR in CAPP.
Keywords:computer application  computer aided process planning (CAPP)  application  case-based reasoning  (CBR)
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