DocumentCode :
3199351
Title :
Stability of BAM Type Cohen-Grossberg Neural Networks with Distributed Delays on Time Scales
Author :
Zhang, Chaolong ; Yang, Fengjian ; Li, Wei ; Chen, Xinming
Author_Institution :
Dept. of Comput. Sci., Zhongkai Univ. of Agric. & Eng., Guangzhou, China
Volume :
3
fYear :
2010
fDate :
11-12 May 2010
Firstpage :
363
Lastpage :
366
Abstract :
In this paper, a class of BAM type Cohen-Grossberg neural networks with distributed delays are investigated. Some sufficient conditions about exponential stability of the distributed delays dynamic systems are obtained on time scales. The results extend and improve some recent works for neural networks with no impulses.
Keywords :
delays; distributed parameter systems; neural nets; stability; BAM stability; Cohen-Grossberg neural networks; distributed delays; exponential stability; time scales; Automation; Computational intelligence; Computer networks; Delay effects; Delay systems; Distributed computing; Intelligent networks; Magnesium compounds; Neural networks; Stability; BAM type Cohen-Grossberg Neural networks; distributed delays; exponential stability; on time scales; periodic solution;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Intelligent Computation Technology and Automation (ICICTA), 2010 International Conference on
Conference_Location :
Changsha
Print_ISBN :
978-1-4244-7279-6
Electronic_ISBN :
978-1-4244-7280-2
Type :
conf
DOI :
10.1109/ICICTA.2010.268
Filename :
5523066
Link To Document :
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