Title
Horseshoe Dynamics in a Small Hyperchaotic Neural Network
Abstract
This paper studies the hyperchaotic dynamics in a four dimensional Hopfield neural network. A topological horseshoe on a three dimensional block is found in a carefully chosen Poincaré section hyperplane of the ordinary differential equations. Numerical studies show that there exist two-directional expansions in this horseshoe map. In this way, a computer-assisted verification of hyperchaoticity of this neural network is presented by virtue of topological horseshoe theory.
Year
DOI
Venue
2007
10.1007/978-3-540-72393-6_13
ISNN (2)
Keywords
Field
DocType
numerical study,horseshoe dynamics,dimensional hopfield neural network,topological horseshoe theory,small hyperchaotic neural network,neural network,horseshoe map,topological horseshoe,hyperchaotic dynamic,computer-assisted verification,dimensional block,ordinary differential equation,three dimensional
Ordinary differential equation,Horseshoe map,Computer science,Artificial intelligence,Hyperplane,Artificial neural network,Lyapunov exponent,Topology,Combinatorics,Poincaré map,Pattern recognition,Cellular neural network,Hopfield network
Conference
Volume
ISSN
Citations 
4492
0302-9743
1
PageRank 
References 
Authors
0.40
11
2
Name
Order
Citations
PageRank
Qingdu Li116026.78
Xiaosong Yang237852.10