Stability Analysis of Random Hopfield Neural Networks
Feng Zhaoshu
Wang Jian
Liu Hongwei
Liu Yongqing
Abstract：In this paper,by applying the decomposition method of dynamic large-scale interconnected systems,a stability analysis is given for the random Hopfield neural networks described by Ito stochastic differential equations. Such neural networks are viewed as an interconnection of many single neurons. Stability results given in this paper are phrased in terms of the qualitative properties of the individual neurons and in terms of the properties of the interconnecting structure of the neural networks.
Keywords：neural networksHopfield modelstabilitystochastic differential equations
Publication Date：1999-01-01
Online Publishing Date：2025-08-15(First online date of this platform, not the publication date of the document)
Pages：4( 345-348 )