A New Criterion for Global Robust Stability of Interval Delayed Neural Networks
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Date
2008
Authors
Journal Title
Journal ISSN
Volume Title
Publisher
Elsevier Science Bv
Open Access Color
HYBRID
Green Open Access
No
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OpenAIRE Views
Publicly Funded
No
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Impulse
Top 10%
Influence
Top 10%
Popularity
Average
Abstract
A novel criterion for the global robust stability of Hopfield-type interval neural networks with delay is presented. An example showing the effectiveness of the present criterion is given. (C) 2007 Elsevier B.V. All rights reserved.
Description
Keywords
Dynamical interval neural networks, Equilibrium analysis, Global robust stability, Hopfield neural networks, Neural networks, Nonlinear systems, Stability, Time-delay systems, Time-delay systems, Hopfield neural networks, Applied Mathematics, Equilibrium analysis, Dynamical interval neural networks, Global robust stability, Computational Mathematics, Nonlinear systems, Stability, Neural networks, Stability theory of functional-differential equations, dynamical interval neural networks, Neural networks for/in biological studies, artificial life and related topics, global robust stability, time-delay systems
Turkish CoHE Thesis Center URL
Fields of Science
02 engineering and technology, 01 natural sciences, 0103 physical sciences, 0202 electrical engineering, electronic engineering, information engineering
Citation
WoS Q
Q1
Scopus Q
OpenCitations Citation Count
17
Source
Journal of Computational and Applied Mathematics
Volume
221
Issue
1
Start Page
219
End Page
225
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Citations
CrossRef : 17
Scopus : 23
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Mendeley Readers : 5
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4.26678725
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3
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5
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16
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