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Robust Stability Analysis of Neutral-Type Hybrid Bidirectional Associative Memory Neural Networks with Time-Varying Delays
Joint Authors
Feng, Wei
Yang, Simon X.
Wu, Haixia
Source
Issue
Vol. 2014, Issue 2014 (31 Dec. 2014), pp.1-12, 12 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2014-05-27
Country of Publication
Egypt
No. of Pages
12
Main Subjects
Abstract EN
The global asymptotic robust stability of equilibrium is considered for neutral-type hybrid bidirectional associative memory neural networks with time-varying delays and parameters uncertainties.
The results we obtained in this paper are delay-derivative-dependent and establish various relationships between the network parameters only.
Therefore, the results of this paper are applicable to a larger class of neural networks and can be easily verified when compared with the previously reported literature results.
Two numerical examples are illustrated to verify our results.
American Psychological Association (APA)
Feng, Wei& Yang, Simon X.& Wu, Haixia. 2014. Robust Stability Analysis of Neutral-Type Hybrid Bidirectional Associative Memory Neural Networks with Time-Varying Delays. Abstract and Applied Analysis،Vol. 2014, no. 2014, pp.1-12.
https://search.emarefa.net/detail/BIM-1033833
Modern Language Association (MLA)
Feng, Wei…[et al.]. Robust Stability Analysis of Neutral-Type Hybrid Bidirectional Associative Memory Neural Networks with Time-Varying Delays. Abstract and Applied Analysis No. 2014 (2014), pp.1-12.
https://search.emarefa.net/detail/BIM-1033833
American Medical Association (AMA)
Feng, Wei& Yang, Simon X.& Wu, Haixia. Robust Stability Analysis of Neutral-Type Hybrid Bidirectional Associative Memory Neural Networks with Time-Varying Delays. Abstract and Applied Analysis. 2014. Vol. 2014, no. 2014, pp.1-12.
https://search.emarefa.net/detail/BIM-1033833
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1033833