Title :
Stability analysis of Hopfield neural networks
Author_Institution :
Coll. of Adult Educ., Yunnan Univ., Kunming, China
Abstract :
In this article, by means of the Lyapunov method and some analysis techniques, sufficient criteria are derived for the global exponential stability of the equilibrium of Hopfield neural networks. This criteria can be used to design globally stable networks and thus has important significance in both theory and applications
Keywords :
Hopfield neural nets; asymptotic stability; Hopfield neural networks; Lyapunov method; global exponential stability; globally stable networks; stability analysis; sufficient criteria; Associative memory; Computer networks; Convergence; Educational institutions; Electronic mail; Hopfield neural networks; Lyapunov method; Neural networks; Neurons; Stability analysis;
Conference_Titel :
Signal Processing Proceedings, 1998. ICSP '98. 1998 Fourth International Conference on
Conference_Location :
Beijing
Print_ISBN :
0-7803-4325-5
DOI :
10.1109/ICOSP.1998.770855
