Convergence of Cohen-Grossberg neural networks with delays and time-varying coefficients.
Existence and stability of almost periodic solutions for shunting inhibitory cellular neural networks with continuously distributed delays.
Exponential convergence of shunting inhibitory cellular neural networks with continuously distributed delays
We study delay shunting inhibitory cellular neural networks without almost periodic coefficients. Some sufficient conditions are established to ensure that all solutions of the networks converge exponentially to an almost periodic function. This complements previously known results.
Global exponential stability of almost periodic solutions for a delayed single population model with hereditary effect
This paper is concerned with a delayed single population model with hereditary effect. Under appropriate conditions, we employ a novel argument to establish a criterion of the global exponential stability of positive almost periodic solutions of the model. Moreover, an example and its numerical simulation are given to illustrate the main result.
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