Global Exponential Stability of Weighted Pseudo-Almost Periodic Solutions of Neutral Type High-Order Hopfield Neural Networks with Distributed Delays
Some sufficient conditions are obtained for the existence, uniqueness, and global exponential stability of weighted pseudo-almost periodic solutions to a class of neutral type high-order Hopfield neural networks with distributed delays by employing fixed point theorem and differential inequality tec...
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Wiley
2014-01-01
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Series: | Abstract and Applied Analysis |
Online Access: | http://dx.doi.org/10.1155/2014/506256 |
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author | Lili Zhao Yongkun Li |
author_facet | Lili Zhao Yongkun Li |
author_sort | Lili Zhao |
collection | DOAJ |
description | Some sufficient conditions are obtained for the existence, uniqueness, and global exponential stability of weighted pseudo-almost periodic solutions to a class of neutral type high-order Hopfield neural networks with distributed delays by employing fixed point theorem and differential inequality techniques. The results of this paper are new and they complement previously known results. Moreover, an example is given to show the effectiveness of the proposed method and results. |
format | Article |
id | doaj-art-8666c6ec0815440588949eb2c640b566 |
institution | Kabale University |
issn | 1085-3375 1687-0409 |
language | English |
publishDate | 2014-01-01 |
publisher | Wiley |
record_format | Article |
series | Abstract and Applied Analysis |
spelling | doaj-art-8666c6ec0815440588949eb2c640b5662025-02-03T01:22:19ZengWileyAbstract and Applied Analysis1085-33751687-04092014-01-01201410.1155/2014/506256506256Global Exponential Stability of Weighted Pseudo-Almost Periodic Solutions of Neutral Type High-Order Hopfield Neural Networks with Distributed DelaysLili Zhao0Yongkun Li1Department of Mathematics, Yunnan University, Kunming, Yunnan 650091, ChinaDepartment of Mathematics, Yunnan University, Kunming, Yunnan 650091, ChinaSome sufficient conditions are obtained for the existence, uniqueness, and global exponential stability of weighted pseudo-almost periodic solutions to a class of neutral type high-order Hopfield neural networks with distributed delays by employing fixed point theorem and differential inequality techniques. The results of this paper are new and they complement previously known results. Moreover, an example is given to show the effectiveness of the proposed method and results.http://dx.doi.org/10.1155/2014/506256 |
spellingShingle | Lili Zhao Yongkun Li Global Exponential Stability of Weighted Pseudo-Almost Periodic Solutions of Neutral Type High-Order Hopfield Neural Networks with Distributed Delays Abstract and Applied Analysis |
title | Global Exponential Stability of Weighted Pseudo-Almost Periodic Solutions of Neutral Type High-Order Hopfield Neural Networks with Distributed Delays |
title_full | Global Exponential Stability of Weighted Pseudo-Almost Periodic Solutions of Neutral Type High-Order Hopfield Neural Networks with Distributed Delays |
title_fullStr | Global Exponential Stability of Weighted Pseudo-Almost Periodic Solutions of Neutral Type High-Order Hopfield Neural Networks with Distributed Delays |
title_full_unstemmed | Global Exponential Stability of Weighted Pseudo-Almost Periodic Solutions of Neutral Type High-Order Hopfield Neural Networks with Distributed Delays |
title_short | Global Exponential Stability of Weighted Pseudo-Almost Periodic Solutions of Neutral Type High-Order Hopfield Neural Networks with Distributed Delays |
title_sort | global exponential stability of weighted pseudo almost periodic solutions of neutral type high order hopfield neural networks with distributed delays |
url | http://dx.doi.org/10.1155/2014/506256 |
work_keys_str_mv | AT lilizhao globalexponentialstabilityofweightedpseudoalmostperiodicsolutionsofneutraltypehighorderhopfieldneuralnetworkswithdistributeddelays AT yongkunli globalexponentialstabilityofweightedpseudoalmostperiodicsolutionsofneutraltypehighorderhopfieldneuralnetworkswithdistributeddelays |