首页 | 本学科首页   官方微博 | 高级检索  
     

Features Recognition of Parts Drawing Based on BP Neural Network of Genetic Algorithms
引用本文:Zhang JianXun,Hong Sha. Features Recognition of Parts Drawing Based on BP Neural Network of Genetic Algorithms[J]. 保鲜与加工, 2005, 0(3): 93-97
作者姓名:Zhang JianXun  Hong Sha
摘    要:This paper gives a new approach to solve the problem of features recognition of parts drawing form by means of multi - layers BP neural network. The concept and arithmetic of expanding property matrix of parts drawing are brought forward. A feature recognition and extraction system of 2D revolving parts drawing is developed by means of secondary development of AutoCAD R2000. These works have high theoretical and practical value.

关 键 词:BP Neural network   parts drawing   features recognition   genetic algorithms
收稿时间:2005-02-22
修稿时间:2005-02-22

Features Recognition of Parts Drawing Based on BP Neural Network of Genetic Algorithms
Zhang JianXun;Hong Sha. Features Recognition of Parts Drawing Based on BP Neural Network of Genetic Algorithms[J]. Storage & Process, 2005, 0(3): 93-97
Authors:Zhang JianXun  Hong Sha
Abstract:This paper gives a new approach to solve the problem of features recognition of parts drawing form by means of multi - layers BP neural network. The concept and arithmetic of expanding property matrix of parts drawing are brought forward. A feature recognition and extraction system of 2D revolving parts drawing is developed by means of secondary development of AutoCAD R2000. These works have high theoretical and practical value.
Keywords:BP Neural network   parts drawing   features recognition   genetic algorithms
点击此处可从《保鲜与加工》浏览原始摘要信息
点击此处可从《保鲜与加工》下载全文
设为首页 | 免责声明 | 关于勤云 | 加入收藏

Copyright©北京勤云科技发展有限公司  京ICP备09084417号