CHAOS AND HYPERCHAOS IN A CLASS OF SIMPLE CELLULAR NEURAL NETWORKS MODELED BY O.D.E.

Authors :: YANG, XIAO-SONG
HUANG, YAN
Source :: International Journal of Bifurcation & Chaos in Applied Sciences & Engineering; Sep2006, Vol. 16 Issue 9, p2729-2736, 8p, 5 Diagrams, 7 Graphs
Publication Year :: 2006
Abstract: This paper presents a new class of chaotic and hyperchaotic low dimensional cellular neural networks modeled by ordinary differential equations with some simple connection matrices. The chaoticity of these neural networks is indicated by positive Lyapunov exponents calculated by a computer. [ABSTRACT FROM AUTHOR]

Subjects :: LYAPUNOV exponents
ARTIFICIAL neural networks
ARTIFICIAL intelligence
DIFFERENTIAL equations
BESSEL functions
CHAOS theory
BIFURCATION theory

Language :: English
ISSN :: 02181274
Volume :: 16
Issue :: 9
Database :: Complementary Index
Journal :: International Journal of Bifurcation & Chaos in Applied Sciences & Engineering
Publication Type :: Academic Journal
Accession number :: 23236893
Full Text :: https://doi.org/10.1142/S0218127406016409

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