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
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;
Conference_Titel :
Circuits and Systems, 1991. Conference Proceedings, China., 1991 International Conference on
Conference_Location :
Shenzhen
DOI :
10.1109/CICCAS.1991.184280
