DocumentCode :
523767
Title :
Global Exponential Stability and Existence of Periodic Solution of Hopfield-Type Neural Networks with Distributed Delays on Time Scales
Author :
Zhang, Chaolong ; Yang, Fengjian ; Li, Wei ; Zeng, Yanshan
Author_Institution :
Dept. of Comput. Sci., Zhongkai Univ. of Agric. & Eng., Guangzhou, China
Volume :
2
fYear :
2010
fDate :
11-12 May 2010
Firstpage :
399
Lastpage :
402
Abstract :
In this paper, we investigate a Hopfield-type neural network with distributed delays. Some sufficient conditions about the global exponential stability and existence of the periodic solution of the Hopfield-type neural networks with distributed delay are obtained on time scales.
Keywords :
Hopfield neural nets; asymptotic stability; delays; Hopfield type neural networks; distributed delays; global exponential stability; periodic solution; time scales; Chaos; Computational intelligence; Computer networks; Delay effects; Distributed computing; Hopfield neural networks; Intelligent networks; Neural networks; Stability; Sufficient conditions; Hopfield-type Neural networks; global exponential stability; on time scales;
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.2010.266
Filename :
5523033
Link To Document :
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