On Global Robust Stability of Interval Hopfield Neural Networks With 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
OpenAIRE Downloads
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Publicly Funded
No
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Impulse
Top 10%
Influence
Top 10%
Popularity
Average
Abstract
A criterion for the global robust stability of interval Hopfield-type neural networks with delay is presented. The criterion is a less restrictive version of a recent criterion due to Cao and Wang. An example showing the effectiveness of the present criterion is given. (c) 2006 Elsevier Ltd. All rights reserved.
Description
Keywords
[No Keyword Available], Stability theory of functional-differential equations, delay, stability, Neural networks for/in biological studies, artificial life and related topics, neural networks
Fields of Science
0103 physical sciences, 0202 electrical engineering, electronic engineering, information engineering, 02 engineering and technology, 01 natural sciences
Citation
WoS Q
Q1
Scopus Q
OpenCitations Citation Count
30
Source
Chaos, Solitons & Fractals
Volume
33
Issue
4
Start Page
1183
End Page
1188
PlumX Metrics
Citations
CrossRef : 28
Scopus : 36
Captures
Mendeley Readers : 11
SCOPUS™ Citations
36
checked on Feb 10, 2026
Web of Science™ Citations
31
checked on Feb 10, 2026
Page Views
1
checked on Feb 10, 2026
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