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郭上江

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期刊论文

Stability Analysis of Cohen-Grossberg Neural Networks

郭上江Shangjiang Guo and Lihong Huang

IEEE TRANSACTIONS ON NEURAL NETWORKS, VOL.17, NO.1, JANUARY 2006,-0001,():

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摘要/描述

Without assuming boundedness and differentiability of the activation functions and any symmetry of interconnections, we employ Lyapunov functions to establish some sufficient conditions ensuring existence, uniqueness, global asymptotic stability, and even global exponential stability of equilibria for the Cohen–Grossberg neural networks with and without delays. Our results are not only presented in terms of system parameters and can be easily verified and also less restrictive than previously known criteria and can be applied to neural networks, including Hopfield neural networks, bidirectional association memory neural networks, and cellular neural networks.

版权说明:以下全部内容由郭上江上传于   2010年01月07日 11时21分11秒,版权归本人所有。

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