Type-K Exponential Ordering with Application to Delayed Hopfield-Type Neural Networks
Order-preserving and convergent results of delay functional differential equations without quasimonotone condition are established under type-K exponential ordering. As an application, the model of delayed Hopfield-type neural networks with a type-K monotone interconnection matrix is considered, and...
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Format: | Article |
Language: | English |
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Wiley
2012-01-01
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Series: | Journal of Applied Mathematics |
Online Access: | http://dx.doi.org/10.1155/2012/580482 |
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author | Bin-Guo Wang |
author_facet | Bin-Guo Wang |
author_sort | Bin-Guo Wang |
collection | DOAJ |
description | Order-preserving and convergent results of delay functional differential equations
without quasimonotone condition are established under type-K exponential ordering.
As an application, the model of delayed Hopfield-type neural networks with a type-K
monotone interconnection matrix is considered, and the attractor result is obtained. |
format | Article |
id | doaj-art-4d719b2fb58244dc90cef4fb5cefadae |
institution | Kabale University |
issn | 1110-757X 1687-0042 |
language | English |
publishDate | 2012-01-01 |
publisher | Wiley |
record_format | Article |
series | Journal of Applied Mathematics |
spelling | doaj-art-4d719b2fb58244dc90cef4fb5cefadae2025-02-03T01:07:00ZengWileyJournal of Applied Mathematics1110-757X1687-00422012-01-01201210.1155/2012/580482580482Type-K Exponential Ordering with Application to Delayed Hopfield-Type Neural NetworksBin-Guo Wang0School of Mathematics and Statistics, Lanzhou University, Lanzhou, Gansu 730000, ChinaOrder-preserving and convergent results of delay functional differential equations without quasimonotone condition are established under type-K exponential ordering. As an application, the model of delayed Hopfield-type neural networks with a type-K monotone interconnection matrix is considered, and the attractor result is obtained.http://dx.doi.org/10.1155/2012/580482 |
spellingShingle | Bin-Guo Wang Type-K Exponential Ordering with Application to Delayed Hopfield-Type Neural Networks Journal of Applied Mathematics |
title | Type-K Exponential Ordering with Application to Delayed Hopfield-Type Neural Networks |
title_full | Type-K Exponential Ordering with Application to Delayed Hopfield-Type Neural Networks |
title_fullStr | Type-K Exponential Ordering with Application to Delayed Hopfield-Type Neural Networks |
title_full_unstemmed | Type-K Exponential Ordering with Application to Delayed Hopfield-Type Neural Networks |
title_short | Type-K Exponential Ordering with Application to Delayed Hopfield-Type Neural Networks |
title_sort | type k exponential ordering with application to delayed hopfield type neural networks |
url | http://dx.doi.org/10.1155/2012/580482 |
work_keys_str_mv | AT binguowang typekexponentialorderingwithapplicationtodelayedhopfieldtypeneuralnetworks |