Title :
Exponential Stability of Cohen-Grossberg Neural Networks with Delays and Impulses
Author :
Tang, Qing ; Liu, Anping ; Li, Huijuan ; Zou, Min
Author_Institution :
Sch. of Math. & Phys., China Univ. of Geosci., Wuhan, China
Abstract :
As an important tool to study practical problems of biology, engineering and image processing, the neural networks has caused more and more attention. Some interesting results on the stability have been obtained. 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 networks; Lyapunov method; Razumikhin technique; delays; exponential stability; impulses; Artificial intelligence; Artificial neural networks; Cellular neural networks; Computational intelligence; Delay effects; Differential equations; Geology; Hopfield neural networks; Neural networks; Stability; Cohen-Grossberg neural networks; Exponential stability; Lyapunov method; delays; impulses;
Conference_Titel :
Artificial Intelligence and Computational Intelligence, 2009. AICI '09. International Conference on
Conference_Location :
Shanghai
Print_ISBN :
978-1-4244-3835-8
Electronic_ISBN :
978-0-7695-3816-7
DOI :
10.1109/AICI.2009.379
