Title :
The L2-Gaining Steady Analysis of Hopfield Neural Network with Time-Varying Parameters
Author :
Jin, Ming ; Zhu, Sheng
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;
Conference_Titel :
Natural Computation, 2009. ICNC '09. Fifth International Conference on
Conference_Location :
Tianjin
Print_ISBN :
978-0-7695-3736-8
DOI :
10.1109/ICNC.2009.365
