具有时滞的Cohen-Grossberg神经网络的全局渐近稳定性分析

2014 10th International Conference on Natural Computation (ICNC) Pub Date : 2014-12-08 DOI:10.1109/ICNC.2014.6975806

Cong Zhan, Shihua Chen

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引用次数: 0

摘要

进一步讨论了具有时滞的Cohen-Grossberg神经网络的全局渐近稳定性。提出了一种研究神经网络全局渐近稳定性的方法。得到了较好的试验条件，并通过数值模拟验证了该准则的有效性。

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Global asymptotic stability analysis of Cohen-Grossberg neural networks with delays

This paper further discusses the global asymptotic stability of Cohen-Grossberg neural networks with time delays. A approach to study the global asymptotic stability of neural networks is proposed. Better test conditions are obtained and a numerical simulation is given to demonstrate the effectiveness of the criterion.

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2014 10th International Conference on Natural Computation (ICNC)

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