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288 pp. per issue
6 x 9, illustrated
ISSN
0899-7667
E-ISSN
1530-888X
2014 Impact factor:
2.21

Neural Computation

May 1, 2003, Vol. 15, No. 5, Pages 1173-1189
(doi: 10.1162/089976603765202703)
© 2003 Massachusetts Institute of Technology
New Conditions on Global Stability of Cohen-Grossberg Neural Networks
Article PDF (113.23 KB)
Wenlian Lu
Laboratory of Nonlinear Science, Institute of Mathematics, Fudan University, Shanghai 200433, P.R. China, chiquitita@21cn.com
Tianping Chen
Laboratory of Nonlinear Science, Institute of Mathematics, Fudan University, Shanghai 200433, P.R. China, tchen@fudan.edu.cn
Abstract

In this letter, we discuss the dynamics of the Cohen-Grossberg neural networks. We provide a new and relaxed set of sufficient conditions for the Cohen-Grossberg networks to be absolutely stable and exponentially stable globally. We also provide an estimate of the rate of convergence.