HU Xiao-Ping, YANG Shi-Xi, TAN Jian-Rong. THE METHOD FOR FEATURE SELF-ORGANIZATION BASED ON FEATURE RECOGNITION WITH NEURAL NETWORKJ. Journal of Computer-Aided Design & Computer Graphics, 1999, 11(4): 335-339.
Citation:
HU Xiao-Ping, YANG Shi-Xi, TAN Jian-Rong. THE METHOD FOR FEATURE SELF-ORGANIZATION BASED ON FEATURE RECOGNITION WITH NEURAL NETWORKJ. Journal of Computer-Aided Design & Computer Graphics, 1999, 11(4): 335-339.
HU Xiao-Ping, YANG Shi-Xi, TAN Jian-Rong. THE METHOD FOR FEATURE SELF-ORGANIZATION BASED ON FEATURE RECOGNITION WITH NEURAL NETWORKJ. Journal of Computer-Aided Design & Computer Graphics, 1999, 11(4): 335-339.
Citation:
HU Xiao-Ping, YANG Shi-Xi, TAN Jian-Rong. THE METHOD FOR FEATURE SELF-ORGANIZATION BASED ON FEATURE RECOGNITION WITH NEURAL NETWORKJ. Journal of Computer-Aided Design & Computer Graphics, 1999, 11(4): 335-339.
THE METHOD FOR FEATURE SELF-ORGANIZATION BASED ON FEATURE RECOGNITION WITH NEURAL NETWORK
Feature recognition is an important topic in CAD，and is an intelligent and different problem in pattern recognition．In this paper，on the basis of feature representation with Extensive Face Adjacent Graph（EFAG） ，the method of feature recognition with neural network is presented and feature self-organization is implemented．It provides a new method for feature modelling and feature recognition．
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