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