Improved Global Robust Stability for Interval-Delayed Hopfield Neural Networks
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Date
2008
Authors
Journal Title
Journal ISSN
Volume Title
Publisher
Springer
Open Access Color
Green Open Access
No
OpenAIRE Downloads
OpenAIRE Views
Publicly Funded
No
BIP! Indicators
Impulse
Top 10%
Influence
Average
Popularity
Average
Abstract
A modified form of a recent criterion for the global robust stability of interval-delayed Hopfield neural networks is presented. The effectiveness of the modified criterion is demonstrated with the help of an example.
Description
Keywords
interval neural networks, equilibrium analysis, robust stability, Hopfield neural networks, neural networks
Turkish CoHE Thesis Center URL
Fields of Science
0103 physical sciences, 0202 electrical engineering, electronic engineering, information engineering, 02 engineering and technology, 01 natural sciences
Citation
WoS Q
Q3
Scopus Q
Q2
OpenCitations Citation Count
13
Source
Neural Processing Letters
Volume
27
Issue
3
Start Page
257
End Page
265
PlumX Metrics
Citations
CrossRef : 12
Scopus : 14
Captures
Mendeley Readers : 3
SCOPUS™ Citations
14
checked on Feb 08, 2026
Web of Science™ Citations
13
checked on Feb 08, 2026
Page Views
10
checked on Feb 08, 2026
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