DocumentCode :
1818623
Title :
An efficient simulation model of the Hopfield neural networks
Author :
Chen, Chang-Jiu ; Haque, Abul L. ; Cheung, John Y.
Author_Institution :
Dept. of Electr. Eng. & Comput. Sci., Oklahoma Univ., Norman, OK, USA
Volume :
1
fYear :
1992
fDate :
7-11 Jun 1992
Firstpage :
471
Abstract :
A novel simulation model of Hopfield neural networks is formulated. It shows the same behavior of a Hopfield neural network but reduces the simulation time at the expense of increased network complexity. The new bound of the proposed model is derived. It was shown to be much better than that of the traditional model of Hopfield neural networks
Keywords :
Hopfield neural nets; computational complexity; Hopfield neural networks; network complexity; simulation model; simulation time; Associative memory; Computational modeling; Computer simulation; Hopfield neural networks; Neural networks; Neurons; Performance analysis; Statistical analysis; Virtual manufacturing;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Neural Networks, 1992. IJCNN., International Joint Conference on
Conference_Location :
Baltimore, MD
Print_ISBN :
0-7803-0559-0
Type :
conf
DOI :
10.1109/IJCNN.1992.287168
Filename :
287168
Link To Document :
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