DocumentCode
2883909
Title
Property analysis of the equilibria of Hopfield neural networks
Author
Wang, Yaoguang ; Liu, Zemin
Author_Institution
Dept. of Radio Eng., Beijing Univ. of Posts & Telecommun., China
fYear
1991
fDate
16-17 Jun 1991
Firstpage
60
Abstract
The authors utilize results from the theory of nonlinear networks and systems to analyse the stability properties of various equilibria of analog and discrete Hopfield models. They discuss the relations between the two models and their convergence properties. Some new results are obtained
Keywords
analogue circuits; convergence; neural nets; nonlinear network analysis; stability; Hopfield neural networks; RC network; analogue Hopfield network; convergence properties; discrete Hopfield models; equilibrium properties; nonlinear networks; stability; Differential equations; Hopfield neural networks; Immune system; Jacobian matrices; Joining processes; Neural networks; Nonlinear equations; Nonlinear systems; Page description languages; Stability analysis;
fLanguage
English
Publisher
ieee
Conference_Titel
Circuits and Systems, 1991. Conference Proceedings, China., 1991 International Conference on
Conference_Location
Shenzhen
Type
conf
DOI
10.1109/CICCAS.1991.184280
Filename
184280
Link To Document