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Asymptotic stability of impulsive high-order Hopfield type neural networks
- Source :
-
Computers & Mathematics with Applications . Jun2009, Vol. 57 Issue 11/12, p1968-1977. 10p. - Publication Year :
- 2009
-
Abstract
- Abstract: In this paper, we discuss impulsive high-order Hopfield type neural networks. Investigating their global asymptotic stability, by using Lyapunov function method, sufficient conditions that guarantee global asymptotic stability of networks are given. These criteria can be used to analyse the dynamics of biological neural systems or to design globally stable artificial neural networks. Two numerical examples are given to illustrate the effectiveness of the proposed method. [Copyright &y& Elsevier]
Details
- Language :
- English
- ISSN :
- 08981221
- Volume :
- 57
- Issue :
- 11/12
- Database :
- Academic Search Index
- Journal :
- Computers & Mathematics with Applications
- Publication Type :
- Academic Journal
- Accession number :
- 38805764
- Full Text :
- https://doi.org/10.1016/j.camwa.2008.10.002