Abstract
In this paper, we consider the problem on exponential stability analysis of the stochastic impulsive high-order BAM neural networks with time delays. Through employing Lyapunov function method and stochastic bidirected halanay inequality, we constitute exponential stability of the stochastic impulsive high-order BAM neural networks with its estimated exponential convergence rate and feasible interval of impulsive strength. An example illustrates the main results.
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Lu, D., Li, C. Exponential stability of stochastic high-order BAM neural networks with time delays and impulsive effects. Neural Comput & Applic 23, 1–8 (2013). https://doi.org/10.1007/s00521-012-0861-1
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DOI: https://doi.org/10.1007/s00521-012-0861-1