Title :
Exponential stability of Cohen-Grossberg neural networks with delays and impulses
Author :
Tang, Qing ; Liu, Anping ; Li, Huijuan ; Liu, Ting
Author_Institution :
Sch. of Math. & Phys., China Univ. of Geosci., Wuhan, China
Abstract :
In this paper, the exponential stability of the equilibrium point of a group of Cohen-Grossberg neural networks is obtained by using Lyapunov method and Razumikhin technique.
Keywords :
Lyapunov methods; asymptotic stability; delays; neural nets; Cohen-Grossberg neural network; Lyapunov method; Razumikhin technique; delay; equilibrium point; exponential stability; Cellular neural networks; Computer science; Delay effects; Differential equations; Geoscience; Hopfield neural networks; Mathematics; Neural networks; Physics; Stability; Cohen-Grossberg model; Global exponential stability; Neural networks;
Conference_Titel :
Computer Science & Education, 2009. ICCSE '09. 4th International Conference on
Conference_Location :
Nanning
Print_ISBN :
978-1-4244-3520-3
Electronic_ISBN :
978-1-4244-3521-0
DOI :
10.1109/ICCSE.2009.5228505
