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Almost periodic dynamical behaviors for generalized Cohen-Grossberg neural networks with discontinuous activations via differential inclusions

机译:具有微分包含的不连续激活的广义Cohen-Grossberg神经网络的几乎周期动力学行为

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In this paper, we investigate the almost periodic dynamical behaviors for a class of general Cohen-Grossberg neural networks with discontinuous right-hand sides, time-varying and distributed delays. By means of retarded differential inclusions theory and nonsmooth analysis theory with generalized Lyapunov approach, we obtain the existence, uniqueness and global stability of almost periodic solution to the neural networks system. It is worthy to pointed out that, without assuming the boundedness or monotonicity of the discontinuous neuron activation functions, our results will also be valid. Finally, we give some numerical examples to show the applicability and effectiveness of our main results.
机译:在本文中,我们研究了一类具有不连续右手边,时变和分布时滞的通用Cohen-Grossberg神经网络的几乎周期性的动力学行为。利用广义Lyapunov方法的滞后微分包含理论和非光滑分析理论,我们获得了神经网络系统几乎周期解的存在性,唯一性和全局稳定性。值得指出的是,在不假设不连续神经元激活函数有界或单调的情况下,我们的结果也将是有效的。最后,我们给出一些数值例子来说明我们的主要结果的适用性和有效性。

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