高阶Hopfield型神经网络的吸引域和指数收敛速度的估计

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Abstract In this paper, the locally exponential stability of equilibrium point for a class of high order Hopfield type neural networks is studied by means of Lyapunov function. Some results about estimation of the attraction domain and exponential convergence rate of the network trajectories to equilibrium point of such networks are obtained.

Key words： High order neural networks Attraction domain Exponential convergence rate

Received: 16 October 2000

PACS:

TN-052

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	Xu Bingji
	Zhou Lun
	Liao Xiaoxin
	Liu Xinzhi

Cite this article:

Xu Bingji,Zhou Lun,Liao Xiaoxin等. Estimation of attraction domain and exponential convergence rate for high order Hopfield type neural networks[J]. , 2002, 24(5): 671-677 .

URL:

http://jeit.ie.ac.cn/EN/ OR http://jeit.ie.ac.cn/EN/Y2002/V24/I5/671

[1]	Cao Jinde. STUDY ON ATTRACTION DOMAIN AND CONVERGENCE RATE OF HOPFIELD ASSOCIATIVE MEMORY[J]. , 1999, 21(3): 332-336 .