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Attracting and invariant sets of non-autonomous reaction-diffusion neural networks with time-varying delays

机译:具有时变时滞的非自治反应扩散神经网络的吸引和不变集

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In this paper, a class of non-autonomous reaction-diffusion neural networks with time-varying delays is investigated. By establishing a new differential inequality and employing the properties of spectral radius of nonnegative matrix and diffusion operator, the global attracting and positive invariant sets and exponential stability of non-autonomous reaction-diffusion neural networks with time-varying delays are obtained. Our results do not require the conditions of boundedness of the coefficient of neural networks. One example is given to illustrate the effectiveness of our conclusion.
机译:研究了一类具有时变时滞的非自治反应扩散神经网络。通过建立一个新的微分不等式,并利用非负矩阵和扩散算子的谱半径特性,获得了具有时变时滞的非自治反应扩散神经网络的全局吸引和正不变集以及指数稳定性。我们的结果不需要神经网络系数的有界条件。给出了一个例子来说明我们结论的有效性。

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