DocumentCode :
2464129
Title :
Dynamical Behavior of Impulsive Hopfield Neural Networks with Infinite Distributed Delays
Author :
Chen, Guoping ; Zhang, Qingliang
Author_Institution :
Sch. of Math. & Comput. Sci., Jishou Univ., Jishou, China
Volume :
3
fYear :
2010
fDate :
16-17 Dec. 2010
Firstpage :
158
Lastpage :
162
Abstract :
This paper investigates the dynamical behavior of impulsive Hopfield neural networks with infinite distributed delays. Some new criteria on the boundedness, global exponential stability and existence of periodic solutions are established by applying component Liapunov function and Hale-Yoshizawa type criteria for impulsive functional differential equations with infinite delays.
Keywords :
Hopfield neural nets; Lyapunov methods; asymptotic stability; delays; differential equations; Hale-Yoshizawa type criteria; Lyapunov function; dynamical behavior; global exponential stability; impulsive Hopfield neural networks; impulsive functional differential equations; infinite distributed delays; Artificial neural networks; Cellular neural networks; Delay; Differential equations; Neurons; Stability criteria; Global exponential stability; Impulsive; Neural network; Periodic solution;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Intelligent Systems (GCIS), 2010 Second WRI Global Congress on
Conference_Location :
Wuhan
Print_ISBN :
978-1-4244-9247-3
Type :
conf
DOI :
10.1109/GCIS.2010.141
Filename :
5709346
Link To Document :
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