Title :
Measuring method of the stability of Hopfield neural network with delay
Author_Institution :
Coll. of Aeronaut. Autom., Civil Aviation Univ. of China, Tianjin, China
Abstract :
In this paper, the stability of Hopfield neural network with delay is studied. By making use of the Lyapunov stability theorem, a measuring method of asymptotic stability for the network is obtained. This method can be widely used into designing and measuring the neural network.
Keywords :
Hopfield neural nets; Lyapunov methods; asymptotic stability; delays; Hopfield neural network; Lyapunov stability theorem; asymptotic stability; delay; Artificial neural networks; Asymptotic stability; Delay; Hopfield neural networks; Lyapunov method; Mathematical model; Stability analysis; Hopfield neural network; Lyapunov function; delay; measure; stability;
Conference_Titel :
Natural Computation (ICNC), 2010 Sixth International Conference on
Conference_Location :
Yantai, Shandong
Print_ISBN :
978-1-4244-5958-2
DOI :
10.1109/ICNC.2010.5582895
