DocumentCode
2370499
Title
Global exponential stability of recurrent neural networks with distributed delays
Author
Tong, Huan ; Fu, Chaojin ; Li, Dahu
Author_Institution
Coll. of. Math. & Stat., Hubei Normal Univ., Huangshi, China
fYear
2012
fDate
23-25 March 2012
Firstpage
73
Lastpage
76
Abstract
In this paper, based on differential inequality technique, we investigate global exponential stability of recurrent neural networks with distributed delays. Some sufficient conditions are derived which ensure the existence, uniqueness, global exponential stability of equilibrium point of the recurrent neural networks. Finally, an example is given to illustrate advantages of our approach.
Keywords
asymptotic stability; delays; differential equations; recurrent neural nets; differential inequality technique; distributed delays; global exponential stability; recurrent neural networks; Asymptotic stability; Delay; Neurons; Recurrent neural networks; Stability criteria;
fLanguage
English
Publisher
ieee
Conference_Titel
Information Science and Technology (ICIST), 2012 International Conference on
Conference_Location
Hubei
Print_ISBN
978-1-4577-0343-0
Type
conf
DOI
10.1109/ICIST.2012.6221610
Filename
6221610
Link To Document