Feature Recognition Based on Neural Network

被引：0
|
作者：
Yi, Rongqing [1 ]
Li, Wenhui [1 ]
Wang, Duo [1 ]
Yuan, Hua [1 ]
机构：
[1] Jilin Univ, Minist Educ, Key Lab Symbol Comp & Knowledge Engn, Changchun 130012, Peoples R China
来源：
PROCEEDINGS OF THE INTERNATIONAL CONFERENCE ON COMPUTER SCIENCE AND INFORMATION TECHNOLOGY | 2008年
关键词：
D O I：
暂无
中图分类号：
TP [自动化技术、计算机技术];
学科分类号：
0812 ;
摘要：
An efficient methodology for recognizing features is presented. The part information is taken from the B-rep solid date library then broken down into sub-graph. Once the sub-graphs are generated, they are first checked to see whether they match with the predefined feature library. If so, a feature vector is assigned to them. Otherwise, base faces are obtained as heuristic information and used to restore missing faces, meanwhile, update the sub-graphs. The sub-graphs are transformed into vectors, and these vectors are presented to the neural network which classifies them into feature classes.
引用
收藏
页码：983 / 987
页数：5
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