DocumentCode :
2808581
Title :
A Hopfield Neural Network Approach to Boundary Based Object Recognition
Author :
Yoon, Sung H. ; Kim, Jung H. ; Park, Eui H. ; Ntuen, C.
Author_Institution :
Department of Electrical Engineering, NC A&T State University
fYear :
1992
fDate :
1-3 Mar 1992
Firstpage :
208
Lastpage :
211
Keywords :
Computational modeling; Hopfield neural networks; Industrial engineering; Neural networks; Neurons; Object recognition; Optimization methods; Robustness; Shape; Stochastic processes;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
System Theory, 1992. Proceedings. SSST/CSA 92. The 24th Southeastern Symposium on and The 3rd Annual Symposium on Communications, Signal Processing Expert Systems, and ASIC VLSI Design
ISSN :
0094-2898
Print_ISBN :
0-8186-2665-8
Type :
conf
DOI :
10.1109/SSST.1992.712263
Filename :
712263
Link To Document :
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