This paper focuses on solving the problem of checking the exponential stability of a class of stochastic fuzzy
cellular neural networks with Markovian jumping parameters, time-varying delays and distributed delays. By constructing
suitable Lyapunov functional and applying stochastic analysis, we firstly developed some sufficient conditions to guarantee
the almost surely exponential stability and the exponential stability in the mean square of this kind of neural networks.
We then showed, by developing several corollaries, that our results could be specialized to various cases including some
published studies. Finally, a numerical example proves the effectiveness of our method.
Keywords: Distributed time delays, exponential stability, fuzzy systems, Markovian jumping parameters, stochastic neural
networks, time-varying delays.
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