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广义 Cohen-Grossberg 中立型时滞 BAM 神经网络的全局渐近稳定性。

Global asymptotic stability to a generalized Cohen-Grossberg BAM neural networks of neutral type delays.

机构信息

College of Mathematics, Hunan University, Changsha 410082, PR China.

出版信息

Neural Netw. 2012 Jan;25(1):94-105. doi: 10.1016/j.neunet.2011.07.006. Epub 2011 Aug 3.

Abstract

In this paper, we first discuss the existence of a unique equilibrium point of a generalized Cohen-Grossberg BAM neural networks of neutral type delays by means of the Homeomorphism theory and inequality technique. Then, by applying the existence result of an equilibrium point and constructing a Lyapunov functional, we study the global asymptotic stability of the equilibrium solution to the above Cohen-Grossberg BAM neural networks of neutral type. In our results, the hypothesis for boundedness in the existing paper, which discussed Cohen-Grossberg neural networks of neutral type on the activation functions, are removed. Finally, we give an example to demonstrate the validity of our global asymptotic stability result for the above neural networks.

摘要

本文首先利用同胚理论和不等式技术讨论了具有中立时滞的广义 Cohen-Grossberg BAM 神经网络平衡点的存在性。然后,通过平衡点的存在性结果和构造 Lyapunov 泛函,研究了上述 Cohen-Grossberg BAM 中立型神经网络平衡点的全局渐近稳定性。在我们的结果中,去除了已有文献中讨论中立型 Cohen-Grossberg 神经网络在激活函数上有界性的假设。最后,我们给出了一个例子来验证上述神经网络全局渐近稳定性结果的有效性。

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