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

13.02.2017

New Results for Impulsive Recurrent Neural Networks with Time-Varying Coefficients and Mixed Delays

verfasst von: Chaouki Aouiti, Mohammed Salah M’hamdi, Farouk Chérif

Erschienen in: Neural Processing Letters | Ausgabe 2/2017

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Abstract

In this paper, we shall explain a new result concerning piecewise weighted pseudo almost-periodic solution of impulsive recurrent neural networks with time-varying coefficients and mixed delays. Precisely, some sufficient conditions are given to prove the existence and the exponential stability of piecewise weighted pseudo almost-periodic solution by employing fixed point theorem, generalized Gronwall–Bellman inequality and differential inequality techniques. Finally, an illustrative example is given to demonstrate the effectiveness of our results.
Vorheriger Artikel Delay-Dependent Passivity and Stability Analysis for a Class of Memristor-Based Neural Networks with Time Delay in the Leakage Term
Nächster Artikel Exponential Stability of Weighted Pseudo Almost Periodic Solutions for HCNNs with Mixed Delays

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Metadaten
Titel
New Results for Impulsive Recurrent Neural Networks with Time-Varying Coefficients and Mixed Delays
verfasst von
Chaouki Aouiti
Mohammed Salah M’hamdi
Farouk Chérif
Publikationsdatum
13.02.2017
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/s11063-017-9601-y

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