HOME HELP FEEDBACK SUBSCRIPTIONS ARCHIVE SEARCH TABLE OF CONTENTS		QUICK SEARCH:   [advanced] Author: Keyword(s): Year:  Vol:  Page:

This Article Full Text Full Text (PDF) Alert me when this article is cited Alert me if a correction is posted Services Similar articles in this journal Similar articles in PubMed Alert me to new issues of the journal Download to citation manager Citing Articles Citing Articles via HighWire Citing Articles via Google Scholar Google Scholar Articles by Chen, T. Articles by Amari, S.-i. Search for Related Content PubMed PubMed Citation Articles by Chen, T. Articles by Amari, S.-i.

Global Convergence Rate of Recurrently Connected Neural Networks

tchen{at}fudan.edu.cn, Laboratory of Nonlinear Mathematics Science, Institute of Mathematics, Fudan University, Shanghai, China

Wenlian Lu

chiquitita{at}21cn.com, Laboratory of Nonlinear Mathematics Science, Institute of Mathematics, Fudan University, Shanghai, China

Shun-ichi Amari

amari{at}brain.riken.go.jp, RIKEN Brain Science Institute, Wako-shi, Saitama 351-01, Japan

We discuss recurrently connected neural networks, investigating their global exponential stability (GES). Some sufficient conditions for a class of recurrent neural networks belonging to GES are given. Sharp convergence rate is given too.

This article has been cited by other articles:

				J. Vanualailai and S.-i. Nakagiri Some Generalized Sufficient Convergence Criteria for Nonlinear Continuous Neural Networks Neural Comput., August 1, 2005; 17(8): 1820 - 1835. [Abstract] [Full Text] [PDF]

				T. Chen, W. Lu, and G. Chen Dynamical Behaviors of a Large Class of General Delayed Neural Networks Neural Comput., April 1, 2005; 17(4): 949 - 968. [Abstract] [Full Text] [PDF]

				W. Lu and T. Chen New Conditions on Global Stability of Cohen-Grossberg Neural Networks Neural Comput., May 1, 2003; 15(5): 1173 - 1189. [Abstract] [Full Text] [PDF]