DocumentCode
1563189
Title
Global Asymptotic Stability of Recurrent Neiural Networks with Time-Varying Delays
Author
Jiang, Haijun ; Cao, Jinde
Author_Institution
Dept. of Math., Southeast Univ., Nanjing
Volume
1
fYear
2005
Firstpage
160
Lastpage
164
Abstract
This paper investigates the existence of equilibrium point and its global asymptotic stability for recurrent neural networks with time-varying delays. Various sufficient conditions ensuring the existence of equilibrium point and its global asymptotic stability are given. The results obtained in this paper extend and generalize those given in previous literature
Keywords
asymptotic stability; delays; recurrent neural nets; time-varying systems; equilibrium point; global asymptotic stability; recurrent neural networks; time-varying delays; Artificial neural networks; Asymptotic stability; Delay effects; Mathematics; Neural networks; Nonlinear equations; Recurrent neural networks; Signal processing; Sufficient conditions; Time varying systems;
fLanguage
English
Publisher
ieee
Conference_Titel
Neural Networks and Brain, 2005. ICNN&B '05. International Conference on
Conference_Location
Beijing
Print_ISBN
0-7803-9422-4
Type
conf
DOI
10.1109/ICNNB.2005.1614589
Filename
1614589
Link To Document