Title :
Study of attraction domain and exponential convergence rate of Hopfield continuous dynamic feedback neural nets
Author :
Zhou, Dongming ; Zhang, Liming ; Zhao, Dongfeng
Author_Institution :
Inf. Coll., Yunnan Univ., Kunming, China
Abstract :
The attraction domain of memory patterns and exponential convergence rate of the network trajectories to memory patterns for Hopfield continuous dynamic feedback neural nets are estimated by using analytical techniques and a new Lyapunov function. Some new results are obtained, and the results can be used for the evaluation of fault-tolerance capability and synthesis procedures of Hopfield continuous dynamic feedback neural nets.
Keywords :
Hopfield neural nets; Lyapunov methods; convergence; fault tolerant computing; feedback; Hopfield neural nets; Lyapunov function; attraction domain; continuous dynamic feedback neural nets; exponential convergence rate; fault-tolerance; memory patterns; Convergence; Educational institutions; Electronic mail; Feedback; Hopfield neural networks; Information analysis; Lyapunov method; Neural networks; Neurofeedback; Pattern analysis;
Conference_Titel :
Intelligent Control and Automation, 2002. Proceedings of the 4th World Congress on
Print_ISBN :
0-7803-7268-9
DOI :
10.1109/WCICA.2002.1021442
