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Global exponential stability of a class of neural networks with variable delays
- Source :
-
Computers & Mathematics with Applications . Apr2005, Vol. 49 Issue 5/6, p895-902. 8p. - Publication Year :
- 2005
-
Abstract
- 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. [Copyright &y& Elsevier]
Details
- Language :
- English
- ISSN :
- 08981221
- Volume :
- 49
- Issue :
- 5/6
- Database :
- Academic Search Index
- Journal :
- Computers & Mathematics with Applications
- Publication Type :
- Academic Journal
- Accession number :
- 17826147
- Full Text :
- https://doi.org/10.1016/j.camwa.2004.03.015