Title of article
Global exponential stability of a class of neural networks with variable delays
Author/Authors
W. Zheng، نويسنده , , J. Zhang، نويسنده ,
Issue Information
دوهفته نامه با شماره پیاپی سال 2005
Pages
8
From page
895
To page
902
Abstract
In this paper, the conditions ensuring existence, uniqueness, and global exponential stability of the equilibrium point of a class of neural networks with variable delays are studied. Without assuming global Lipschitz conditions on these activation functions, applying idea of vector Lyapunov function, the sufficient conditions for global exponential stability of neural networks are obtained.
Keywords
Global asymptotical stability , Neural network , Variable delays , Global exponential stability
Journal title
Computers and Mathematics with Applications
Serial Year
2005
Journal title
Computers and Mathematics with Applications
Record number
920198
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