Article ID | Journal | Published Year | Pages | File Type |
---|---|---|---|---|
1705104 | Applied Mathematical Modelling | 2012 | 9 Pages |
Abstract
In this paper, we construct a new split-step numerical method for stochastic delay Hopfield neural networks. The main aim of this paper is to investigate the mean-square stability of this split-step θ-methods for stochastic delay Hopfield neural networks. It is proved that the split-step θ-methods are mean-square stable under suitable conditions. Numerical experiments verify the numerical stability results obtained from theory. A comparison between this work and Ronghua et al. [8] is also discussed in the example.
Related Topics
Physical Sciences and Engineering
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Computational Mechanics
Authors
A. Rathinasamy,