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Convergence for a class of delayed recurrent neural networks without M-matrix condition

โœ Scribed by Bingwen Liu; Shuhua Gong; Xuejun Yi; Lihong Huang

Publisher
Elsevier Science
Year
2009
Tongue
English
Weight
364 KB
Volume
233
Category
Article
ISSN
0377-0427

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โœฆ Synopsis

In this paper, we investigate the asymptotic behavior of solutions to a class of recurrent neural network model with delays. Without assuming M-matrix condition, it is shown that every solution of the network tends to an equilibrium point as t โ†’ โˆž. Our results improve and extend some corresponding ones already known.

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