Paper Title:
Split-Step Backward Euler Method for Stochastic Delay Hopfield Neural Networks with Markovian Switching
  Abstract

In this paper, split-step backward Euler method for stochastic delay Hopfield neural networks with Markovian switching is considered. The main aim of this paper is to show that the numerical approximation solution is convergent to the true solution with order. The conditions under which the numerical solution is exponentially stable in mean square are given. An example is provided for illustration.

  Info
Periodical
Edited by
Qi Luo
Pages
1390-1395
DOI
10.4028/www.scientific.net/AMM.58-60.1390
Citation
R. H. Li, L. Yang, J. W. Li, "Split-Step Backward Euler Method for Stochastic Delay Hopfield Neural Networks with Markovian Switching", Applied Mechanics and Materials, Vols. 58-60, pp. 1390-1395, 2011
Online since
June 2011
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