Abstract
This paper is concerned with the general mean-square (GMS) stability and mean-square (MS) stability of stochastic $$\theta $$ -methods for stochastic delay Hopfield neural networks under regime switching. The sufficient conditions to guarantee GMS-stability and MS-stability of stochastic $$\theta $$ -methods are given. Finally, an example is used to illustrate the effectiveness of our result.
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