论文信息 - The split-step θ-methods for stochastic delay Hopfield neural networks

The split-step θ-methods for stochastic delay Hopfield neural networks

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.

A. Rathinasamy

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