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
Pages
5
From page
1235
To page
1239
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
Serial Year
2009
Journal title
Applied Mathematics Letters
Record number
1526150
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