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