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Neural Computing and Applications

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24.08.2016 | Original Article

Weighted pseudo-almost automorphic solutions of high-order Hopfield neural networks with neutral distributed delays

verfasst von: Lili Zhao, Yongkun Li, Bing Li

Erschienen in: Neural Computing and Applications | Ausgabe 7/2018

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Abstract

In this paper, a class of high-order Hopfield neural networks with neutral distributed delays is considered. Some sufficient conditions are obtained for the existence, uniqueness and global exponential stability of weighted pseudo-almost automorphic solutions for this class of networks by employing the Banach fixed-point theorem and differential inequality techniques. The results of this paper are completely new. An example is given to show the effectiveness of the proposed method and results.

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Titel: Weighted pseudo-almost automorphic solutions of high-order Hopfield neural networks with neutral distributed delays
verfasst von: Lili Zhao
Yongkun Li
Bing Li
Publikationsdatum: 24.08.2016
Verlag: Springer London
Erschienen in: Neural Computing and Applications / Ausgabe 7/2018
Print ISSN: 0941-0643
Elektronische ISSN: 1433-3058
DOI: https://doi.org/10.1007/s00521-016-2553-8

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