Exponential stability for stochastic interval delayed Hopfield neural networks
Abstract:A type of stochastic interval delayed Hopfield neural network had been studied. By using Ito formula and Lya-punov function, some new delay-dependent and delay-independent sufficient conditions of its global exponential stability hadbeen given. All the results obtained were generalizations of some recent results reported in the literature for stochastic neural net-works with constant delays or their certain cases with variable-delays.
Keywords:stochastic interval delayed Hopfield neural networkBrownian motionIto formulaLyapunov functionro-bust stability
Publication Date:2003-01-01
Online Publishing Date:2025-08-15(First online date of this platform, not the publication date of the document)
Pages:3( 746-748 )
