Paper Info
Title
Horseshoe Chaos In Cellular Neural Networks
Abstract
In this paper, we demonstrate chaos in low dimensional cellular neural networks for some weight matrices. To verify chaoticity of the dynamics in these cellular neural networks, we consider a cross-section properly chosen for the attractors obtained and study the dynamics of the corresponding Poincare maps, and rigorously verify the existence of horseshoe in the manner of coin puter-assisted proof arguments.
Year
DOI
Venue
2006
10.1142/S0218127406014666
INTERNATIONAL JOURNAL OF BIFURCATION AND CHAOS
Keywords
DocType
Volume
chaos, Poincare map, horseshoe, cellular neural networks
Journal
16
Issue
ISSN
Citations 
1
0218-1274
15
PageRank 
References 
Authors
2.24
3
2
Name
Order
Citations
PageRank
Xiaosong Yang137852.10
Qingdu Li216026.78