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逆向工程中基于BP网络的自动特征识别器的设计与实现
引用本文:谭昌柏,周来水,安鲁陵,周儒荣. 逆向工程中基于BP网络的自动特征识别器的设计与实现[J]. 计算机辅助设计与图形学学报, 2005, 17(10): 2305-2311
作者姓名:谭昌柏  周来水  安鲁陵  周儒荣
作者单位:南京航空航天大学机电学院,南京,210016;南京航空航天大学机电学院,南京,210016;南京航空航天大学机电学院,南京,210016;南京航空航天大学机电学院,南京,210016
基金项目:高等学校优秀青年教师教学科研奖励计划;江苏省青年科技基金(BQ2000004);航空基金(01H52051)
摘    要:应用BP网络技术设计了一种具有良好扩展性的基于前向反馈网络的自动特征识别器.该特征识别器能依据从三角网格模型中提取的输入信号自动识别出机械零件中常见的凸块、圆台、型腔、圆孔、台阶、直槽、T型槽、燕尾槽、V型槽等几何特征,并具有响应速度快、适应性广等优点.

关 键 词:逆向工程  模型重建  特征识别  BP网络  训练
收稿时间:2004-07-08
修稿时间:2004-07-082004-09-24

Design and Implementation of an Automatic Feature Recognizer Based on BP Network in Reverse Engineering
Tan Changbai,Zhou Laishui,An Luling,Zhou Rurong. Design and Implementation of an Automatic Feature Recognizer Based on BP Network in Reverse Engineering[J]. Journal of Computer-Aided Design & Computer Graphics, 2005, 17(10): 2305-2311
Authors:Tan Changbai  Zhou Laishui  An Luling  Zhou Rurong
Affiliation:College of Mechanical and Electrical Engineering, Nanjing University of Aeronautics and Astronautics, Nanjing 210016
Abstract:In this paper artificial neuron network(ANN) technique is applied to automatic recognition of features in reverse engineering, and a kind of automatic feature recognizer is designed with good extendibility based on BP network. According to input signals derived from triangular mesh models, the feature recognizer can automatically recognize the geometric features such as generic block, boss, pocket, hole, step, slot, T-shape groove, swallow-tailed groove and V-shape groove. The proposed feature recognizer shows its characteristics of swift response and good adaptability.
Keywords:reverse engineering   model reconstruction   feature recognition   BP network   discipline
本文献已被 CNKI 维普 万方数据 等数据库收录!
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