基于规则与ANN的铣削加工参数匹配知识库研究  

Application of rule and ANN in establishment of knowledge base for determination of milling parameters

作　　者：李爱平[1] 万高绪[1] 林献坤[1] 

机构地区：[1]同济大学现代制造技术研究所,上海200092

出　　处：《计算机工程与应用》2008年第1期175-178,共4页Computer Engineering and Applications

基　　金：上海市"十五"重点科技攻关项目(No.041111001)。

摘　　要：分析铣削加工参数匹配关系及其知识表示,针对产生式规则难以全面、高效表示加工参数定量匹配知识的问题,提出应用规则推理与人工神经网络(ANN)混合技术构建知识库的方法,给出了参数定量匹配知识表示的神经网络模型和改进的Vogl知识获取方法,运用手册上提供的最复杂样本集数据进行实验验证,结果表明提出的方法具有较好的知识表示性能。最后就如何应用该技术开发面向铣削加工的参数匹配知识库系统展开论述。It is time-consuming to determine appropriate machining parameters in milling process.The paper aims to propose an approach with hybrid technology to establish knowledge base for automation of the determination.Firstly,the relationship among milling parameters is discussed.And then the knowledge contained in these relations is classified into three kinds.As rule based reasoning technology cannot represent the quantitative kind knowledge in an efficient and full-scale way,Aartificial Neural Network（ANN ） is brought forward to solve the problem in selection of these parameters.A modified Vogl learning strategy is presented to support the developed ANN model.To demonstrate the performance of the proposed approach,the most complicated patterns from handbook literature are used to train ANN.In the end,some key techniques with the method used to develop a knowledge base system for milling operation are introduced.

关 键 词：加工参数 知识库 知识获取 ANN 规则 

分 类 号：TP391[自动化与计算机技术—计算机应用技术]