Title
Global exponential stability of BAM type cohen-grossberg neural network with delays on time scales
Abstract
In this paper,a class of the BAM type Cohen-Grossberg neural network with delays is considered on time scales Some sufficient conditions about the existence of equilibrium point, globally exponential stability and globally exponentially robust stability are obtained.At last,an example can be demonstrate the results.
Year
DOI
Venue
2010
10.1007/978-3-642-13278-0_76
ISNN (1)
Keywords
Field
DocType
sufficient condition,equilibrium point,bam type cohen-grossberg neural,exponential stability,global exponential stability,exponentially robust stability,time scale,lyapunov function
Applied mathematics,Lyapunov function,Pattern recognition,Computer science,Equilibrium point,Exponential stability,Artificial intelligence,Artificial neural network,Exponential growth
Conference
Volume
ISSN
ISBN
6063
0302-9743
3-642-13277-4
Citations 
PageRank 
References 
0
0.34
6
Authors
4
Name
Order
Citations
PageRank
Chaolong Zhang16515.03
Wensi Ding200.68
Fengjian Yang3335.60
Wei Li401.35