Title :
Stability for Impulsive Neural Networks with Time Delays by Razumikhin Method
Author :
Luo, Wen-pin ; Zhong, Shou-ming ; Yang, Jun
Author_Institution :
Sch. of Appl. Math., Univ. of Electron. Sci. & Technol. of China, Chengdu
Abstract :
In this article, a generalized model of neural networks involving time-varying delays and impulses is considered. By using Razumikhin method and Lyapunov functions analysis technique, a sufficient condition for ensuring uniform stability of these networks is derived. A numerical example is worked out to illustrate the obtained result
Keywords :
Lyapunov methods; delays; neural nets; stability; Lyapunov functions analysis technique; Razumikhin method; impulsive neural network stability; time-varying delays; Artificial neural networks; Cybernetics; Delay effects; Differential equations; Hopfield neural networks; Ink; Lyapunov method; Machine learning; Neural networks; Neurons; Recurrent neural networks; Stability; Impulsive neural networks; Lyapunov function; Razumikhin method; Stability;
Conference_Titel :
Machine Learning and Cybernetics, 2006 International Conference on
Conference_Location :
Dalian, China
Print_ISBN :
1-4244-0061-9
DOI :
10.1109/ICMLC.2006.258933
