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Neural Processing Letters
Erschienen in: Neural Processing Letters 1/2017

30.11.2016

Pseudo Almost Periodic Solutions for High-Order Hopfield Neural Networks with Time-Varying Leakage Delays

verfasst von: Changjin Xu, Peiluan Li

Erschienen in: Neural Processing Letters | Ausgabe 1/2017

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Abstract

In this paper, high-order Hopfield neural networks with time-varying leakage delays are investigated. By applying Lyapunov functional method and differential inequality techniques, a set of sufficient conditions are obtained for the existence and exponential stability of pseudo almost periodic solutions of the model. Some simulations are carried out to support the theoretical findings. Our results improve and generalize those of the previous studies.
Vorheriger Artikel Finite-Time Stability of Neural Networks with Impulse Effects and Time-Varying Delay
Nächster Artikel Impulsive Synchronization of Stochastic Neural Networks via Controlling Partial States

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Metadaten
Titel
Pseudo Almost Periodic Solutions for High-Order Hopfield Neural Networks with Time-Varying Leakage Delays
verfasst von
Changjin Xu
Peiluan Li
Publikationsdatum
30.11.2016
Verlag
Springer US
Erschienen in
Neural Processing Letters / Ausgabe 1/2017
Print ISSN: 1370-4621
Elektronische ISSN: 1573-773X
DOI
https://doi.org/10.1007/s11063-016-9573-3

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