DocumentCode
508025
Title
The L2-Gaining Steady Analysis of Hopfield Neural Network with Time-Varying Parameters
Author
Jin, Ming ; Zhu, Sheng
Volume
1
fYear
2009
fDate
14-16 Aug. 2009
Firstpage
329
Lastpage
332
Abstract
In this paper, the stability of Hopfield neural network is investigated. The paper studies the steady condition of time-varying parameters Hopfield neural network with time delay. The full condition is solved and the theory extends the relevant conclusions as cited.
Keywords
Hopfield neural nets; delays; stability; time-varying systems; Hopfield neural network; L2-gaining steady analysis; stability; time delay; time-varying parameters; Computer networks; Delay effects; Electronic mail; Grid computing; Hopfield neural networks; Information security; Laboratories; Neural networks; Stability; Time varying systems; Hopfield neural network; L2-gaining steady; time-varying parameters;
fLanguage
English
Publisher
ieee
Conference_Titel
Natural Computation, 2009. ICNC '09. Fifth International Conference on
Conference_Location
Tianjin
Print_ISBN
978-0-7695-3736-8
Type
conf
DOI
10.1109/ICNC.2009.365
Filename
5364704
Link To Document