C 1-Almost Periodic Solutions of BAM Neural Networks with Time-Varying Delays on Time Scales

On a new type of almost periodic time scales, a class of BAM neural networks is considered. By employing a fixed point theorem and differential inequality techniques, some sufficient conditions ensuring the existence and global exponential stability of C 1-almost periodic solutions for this class of...

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Main Authors: Li, Yongkun, Zhao, Lili, Yang, Li
Format: Online
Language:English
Published: Hindawi Publishing Corporation 2015
Online Access:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4313527/
id pubmed-4313527
recordtype oai_dc
spelling pubmed-43135272015-02-15 C 1-Almost Periodic Solutions of BAM Neural Networks with Time-Varying Delays on Time Scales Li, Yongkun Zhao, Lili Yang, Li Research Article On a new type of almost periodic time scales, a class of BAM neural networks is considered. By employing a fixed point theorem and differential inequality techniques, some sufficient conditions ensuring the existence and global exponential stability of C 1-almost periodic solutions for this class of networks with time-varying delays are established. Two examples are given to show the effectiveness of the proposed method and results. Hindawi Publishing Corporation 2015 2015-01-19 /pmc/articles/PMC4313527/ /pubmed/25685847 http://dx.doi.org/10.1155/2015/727329 Text en Copyright © 2015 Yongkun Li et al. https://creativecommons.org/licenses/by/3.0/ This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
repository_type Open Access Journal
institution_category Foreign Institution
institution US National Center for Biotechnology Information
building NCBI PubMed
collection Online Access
language English
format Online
author Li, Yongkun
Zhao, Lili
Yang, Li
spellingShingle Li, Yongkun
Zhao, Lili
Yang, Li
C 1-Almost Periodic Solutions of BAM Neural Networks with Time-Varying Delays on Time Scales
author_facet Li, Yongkun
Zhao, Lili
Yang, Li
author_sort Li, Yongkun
title C 1-Almost Periodic Solutions of BAM Neural Networks with Time-Varying Delays on Time Scales
title_short C 1-Almost Periodic Solutions of BAM Neural Networks with Time-Varying Delays on Time Scales
title_full C 1-Almost Periodic Solutions of BAM Neural Networks with Time-Varying Delays on Time Scales
title_fullStr C 1-Almost Periodic Solutions of BAM Neural Networks with Time-Varying Delays on Time Scales
title_full_unstemmed C 1-Almost Periodic Solutions of BAM Neural Networks with Time-Varying Delays on Time Scales
title_sort c 1-almost periodic solutions of bam neural networks with time-varying delays on time scales
description On a new type of almost periodic time scales, a class of BAM neural networks is considered. By employing a fixed point theorem and differential inequality techniques, some sufficient conditions ensuring the existence and global exponential stability of C 1-almost periodic solutions for this class of networks with time-varying delays are established. Two examples are given to show the effectiveness of the proposed method and results.
publisher Hindawi Publishing Corporation
publishDate 2015
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4313527/
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