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Neural Computing and Applications
Published in: Neural Computing and Applications 6/2014

01-11-2014 | Original Article

New results on almost periodic solutions for CNNs with time-varying leakage delays

Author: Yanli Xu

Published in: Neural Computing and Applications | Issue 6/2014

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Abstract

In this paper, based on the exponential dichotomy theory and contraction mapping fixed point theorem, we obtain some sufficient conditions ensuring the global exponential stability of almost periodic solutions for a new generalized cellular neural network model with time-varying delays in leakage (or forgetting) terms. Our results complement some recent ones. Moreover, an illustrative example and its numerical simulation are given to demonstrate the effectiveness of the obtained results.
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Metadata
Title
New results on almost periodic solutions for CNNs with time-varying leakage delays
Author
Yanli Xu
Publication date
01-11-2014
Publisher
Springer London
Published in
Neural Computing and Applications / Issue 6/2014
Print ISSN: 0941-0643
Electronic ISSN: 1433-3058
DOI
https://doi.org/10.1007/s00521-014-1610-4

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