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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Main Authors: Lili Zhao, Yongkun Li
Format: Article
Language:English
Published: Wiley 2014-01-01
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.
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institution Kabale University
issn 1085-3375
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publishDate 2014-01-01
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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
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AT yongkunli globalexponentialstabilityofweightedpseudoalmostperiodicsolutionsofneutraltypehighorderhopfieldneuralnetworkswithdistributeddelays