Some Remarks on Global Asymptotic Stability of Neural Networks With Constant Time Delay
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Date
2007
Authors
Journal Title
Journal ISSN
Volume Title
Publisher
Pergamon-elsevier Science Ltd
Open Access Color
Green Open Access
No
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Publicly Funded
No
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Average
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Top 10%
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Abstract
An elegant proof of a previously reported criterion for the uniqueness and global asymptotic stability of the equilibrium point of a class of neural networks with constant time delay is presented. The present proof yields some interesting observations. (c) 2005 Elsevier Ltd. All rights reserved.
Description
Keywords
[No Keyword Available], Stability theory of functional-differential equations, neural network models, stability, Neural networks for/in biological studies, artificial life and related topics, delay functional differential equations
Fields of Science
0103 physical sciences, 01 natural sciences
Citation
WoS Q
Q1
Scopus Q
OpenCitations Citation Count
7
Source
Chaos, Solitons & Fractals
Volume
32
Issue
5
Start Page
1720
End Page
1724
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Citations
CrossRef : 7
Scopus : 8
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Mendeley Readers : 10
SCOPUS™ Citations
8
checked on Feb 11, 2026
Web of Science™ Citations
7
checked on Feb 11, 2026
Page Views
2
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