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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...
Autores principales: | , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Hindawi Publishing Corporation
2015
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4313527/ https://www.ncbi.nlm.nih.gov/pubmed/25685847 http://dx.doi.org/10.1155/2015/727329 |
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author | Li, Yongkun Zhao, Lili Yang, Li |
author_facet | Li, Yongkun Zhao, Lili Yang, Li |
author_sort | Li, Yongkun |
collection | PubMed |
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. |
format | Online Article Text |
id | pubmed-4313527 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2015 |
publisher | Hindawi Publishing Corporation |
record_format | MEDLINE/PubMed |
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 ScientificWorldJournal 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. |
spellingShingle | Research Article Li, Yongkun Zhao, Lili Yang, Li C (1)-Almost Periodic Solutions of BAM Neural Networks with Time-Varying Delays on Time Scales |
title |
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_short |
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 |
topic | Research Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4313527/ https://www.ncbi.nlm.nih.gov/pubmed/25685847 http://dx.doi.org/10.1155/2015/727329 |
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