DocumentCode :
175601
Title :
Global asymptotic stability analysis of Cohen-Grossberg neural networks with delays
Author :
Cong Zhan ; Shihua Chen
Author_Institution :
Sch. of Math. & Stat., Wuhan Univ., Wuhan, China
fYear :
2014
fDate :
19-21 Aug. 2014
Firstpage :
36
Lastpage :
40
Abstract :
This paper further discusses the global asymptotic stability of Cohen-Grossberg neural networks with time delays. A approach to study the global asymptotic stability of neural networks is proposed. Better test conditions are obtained and a numerical simulation is given to demonstrate the effectiveness of the criterion.
Keywords :
asymptotic stability; delays; neural nets; numerical analysis; Cohen-Grossberg neural networks; global asymptotic stability analysis; numerical simulation; time delays; Asymptotic stability; Biological neural networks; Delay effects; Delays; Stability criteria;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Natural Computation (ICNC), 2014 10th International Conference on
Conference_Location :
Xiamen
Print_ISBN :
978-1-4799-5150-5
Type :
conf
DOI :
10.1109/ICNC.2014.6975806
Filename :
6975806
Link To Document :
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