DocumentCode :
2575797
Title :
Existence of periodic solution of cohen-grossberg neural networks with impulsive and delay
Author :
Zhang, Chaolong ; Yang, Fengjian ; Li, Wei ; Hu, Xiaojian
Author_Institution :
Dept. of Comput. Sci., Zhongkai Univ. of Agric. & Eng., Guangzhou, China
Volume :
2
fYear :
2010
fDate :
28-31 Aug. 2010
Firstpage :
652
Lastpage :
655
Abstract :
By using the method of Lyapunov function and analysis technique, a model for bidirectional associative memory with impulsive and delay is studied. Sufficient conditions are obtained for the existence of ω-periodic solution and all other solutions are globally exponentially convergent to it.
Keywords :
Lyapunov methods; content-addressable storage; delays; neural nets; ω-periodic solution; Cohen-Grossberg neural networks; Lyapunov function; bidirectional associative memory; delay; Artificial intelligence; Impulsive; Lyapunov function; Neural networks; globally exponentially convergent;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Geoscience and Remote Sensing (IITA-GRS), 2010 Second IITA International Conference on
Conference_Location :
Qingdao
Print_ISBN :
978-1-4244-8514-7
Type :
conf
DOI :
10.1109/IITA-GRS.2010.5602314
Filename :
5602314
Link To Document :
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