Title of article :
Global exponential stability for a class of neural networks
Author/Authors :
Li، نويسنده , , Xiaodi، نويسنده ,
Issue Information :
روزنامه با شماره پیاپی سال 2009
Abstract :
In this paper, the global exponential stability for a class of neural networks is investigated. A simple criterion ensuring global exponential stability is established, which is a less restrictive version of a recent criterion due to Park and Kwon. Some examples showing the effectiveness of the present criterion are given.
Keywords :
Global exponential stability , NEURAL NETWORKS , Uniform stability , Lyapunov functional , Convergence Rate
Journal title :
Applied Mathematics Letters
Journal title :
Applied Mathematics Letters
