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GENERALIZED SYNCHRONIZATION OF DIFFERENT DIMENSIONAL NEURAL NETWORKS AND ITS APPLICATIONS IN SECURE COMMUNICATION.
- Source :
- Modern Physics Letters B; 8/30/2008, Vol. 22 Issue 22, p2077-2084, 8p, 3 Graphs
- Publication Year :
- 2008
-
Abstract
- This paper analyzes the generalized synchronization of chaotic neural networks and proposes an approach based on the Lyapunov stability theory. This approach realizes the generalized synchronization between two different dimensional neural networks. Numerical simulation examples are given to demonstrate the effectiveness of this approach. By the chaos-masking method, the simulation experiment about generalized synchronization of different dimensional neural networks in secure communication has verified the validity of the approach. [ABSTRACT FROM AUTHOR]
Details
- Language :
- English
- ISSN :
- 02179849
- Volume :
- 22
- Issue :
- 22
- Database :
- Complementary Index
- Journal :
- Modern Physics Letters B
- Publication Type :
- Academic Journal
- Accession number :
- 34361133
- Full Text :
- https://doi.org/10.1142/S0217984908016753