DocumentCode
3005981
Title
Neural net based pattern recognition on the graph search machine
Author
Na, Helen ; Glinski, Stephen
Author_Institution
Illinois Univ., Urbana, IL, USA
fYear
1988
fDate
11-14 Apr 1988
Firstpage
2168
Abstract
The Hopfield net algorithm for pattern recognition has been implemented on a single GSM (graph search machine). The authors report on the methods used to implement the algorithm as well as on the algorithm performance as compared with competing architectures. It is shown that the GSM provides a viable alternative architecture for neural net research and development
Keywords
graph theory; neural nets; pattern recognition; Hopfield net algorithm; algorithm performance; graph search machine; neural net development; neural net research; pattern recognition; Computer architecture; GSM; Image processing; Iterative algorithms; Neural networks; Pattern matching; Pattern recognition; Real time systems; Reduced instruction set computing; Research and development;
fLanguage
English
Publisher
ieee
Conference_Titel
Acoustics, Speech, and Signal Processing, 1988. ICASSP-88., 1988 International Conference on
Conference_Location
New York, NY
ISSN
1520-6149
Type
conf
DOI
10.1109/ICASSP.1988.197062
Filename
197062
Link To Document