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Neural Processing Letters
Erschienen in: Neural Processing Letters 2/2017

21.07.2016

Anti-periodic Solutions of Inertial Neural Networks with Time Delays

verfasst von: Yunquan Ke, Chunfang Miao

Erschienen in: Neural Processing Letters | Ausgabe 2/2017

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Abstract

In this paper, the exponential stability of anti-periodic solutions for inertial neural networks with time delays is investigated. First, by properly chosen variable substitution the system is transformed to first order differential equation. Second, some sufficient conditions which can ensure the existence and exponential stability of anti-periodic solutions for the system are obtained by using Lyapunov method and uniformly converges. Finally, an example is given to illustrate the effectiveness of the results.
Vorheriger Artikel Factor Augmented Artificial Neural Network Model
Nächster Artikel Ensemble Multiple-Kernel Based Manifold Regularization

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Metadaten
Titel
Anti-periodic Solutions of Inertial Neural Networks with Time Delays
verfasst von
Yunquan Ke
Chunfang Miao
Publikationsdatum
21.07.2016
Verlag
Springer US
Erschienen in
Neural Processing Letters / Ausgabe 2/2017
Print ISSN: 1370-4621
Elektronische ISSN: 1573-773X
DOI
https://doi.org/10.1007/s11063-016-9540-z

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