人工智能在二维零件图特征识别中的应用  

Artificial Intelligence Apply at Features Recognitioning of 2D Parts diagram

作　　者：张建勋[1] 陈奇[1] 龚箭[1] 

机构地区：[1]重庆工学院计算机学院,400050

出　　处：《现代机械》2003年第1期9-11,共3页Modern Machinery

基　　金：重庆市科技计划项目基金资助 (680 4)

摘　　要：二维零件图特征识别是一个集经验、知识和抽象思维于一体的活动 ,正适合用人工智能来解决这类问题 ,本文给出了一种基于规则的专家系统进行二维零件图特征识别的总体框架 ,阐述了基于规则的特征识别专家系统进行特征识别的算法和步骤 ,讨论了该系统的实现策略。最后 ,利用基于神经网络的知识求精方法对知识求精专家系统的初始知识库进行求精 ,提高了专家系统的运行性能。Features Recognitioning of 2D parts diagram is an activity for gathering the experience,knowledge and abstract thought.It is in keeping with to resolve this problem with artificial intelligence.This text gives out an total construction frame of expert system for according to ruled to proceed features recognitioning of two 2D parts diagram.This text expatiate an arithmetic and approach of expert system for according to ruled to proceed features recognitioning,discussed realizing of that system the strategy.Finally,make use of knowledge amend method according to neural network amend the early knovledge database,increase the expert system's run performance.

关 键 词：二维零件图 特征识别 人工智能 神经网络 知识求精 

分 类 号：TH126[机械工程—机械设计及理论] TP18[自动化与计算机技术—控制理论与控制工程]