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This paper is concerned the robust stability analysis problem for uncertain stochastic neural networks with two time-varying delay components. By utilizing a Lyapunov-Krasovskii functional and conducting stochastic analysis, we show that the addressed neural networks are globally, robustly, asymptotically stable if a convex optimization problem is feasible. Some stability criteria are derived such...
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