C1-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 C1-almost periodic solutions for this class of...
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| Main Authors: | , , |
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| Format: | Article |
| Language: | English |
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Wiley
2015-01-01
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| Series: | The Scientific World Journal |
| Online Access: | http://dx.doi.org/10.1155/2015/727329 |
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| _version_ | 1832555496746254336 |
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| author | Yongkun Li Lili Zhao Li Yang |
| author_facet | Yongkun Li Lili Zhao Li Yang |
| author_sort | Yongkun Li |
| collection | DOAJ |
| 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 C1-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 | Article |
| id | doaj-art-d924e14d41634cc39e7df91655371b10 |
| institution | Kabale University |
| issn | 2356-6140 1537-744X |
| language | English |
| publishDate | 2015-01-01 |
| publisher | Wiley |
| record_format | Article |
| series | The Scientific World Journal |
| spelling | doaj-art-d924e14d41634cc39e7df91655371b102025-02-03T05:48:12ZengWileyThe Scientific World Journal2356-61401537-744X2015-01-01201510.1155/2015/727329727329C1-Almost Periodic Solutions of BAM Neural Networks with Time-Varying Delays on Time ScalesYongkun Li0Lili Zhao1Li Yang2Department of Mathematics, Yunnan University, Kunming, Yunnan 650091, ChinaDepartment of Mathematics, Yunnan University, Kunming, Yunnan 650091, ChinaDepartment of Mathematics, Yunnan University, Kunming, Yunnan 650091, ChinaOn 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 C1-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.http://dx.doi.org/10.1155/2015/727329 |
| spellingShingle | Yongkun Li Lili Zhao Li Yang C1-Almost Periodic Solutions of BAM Neural Networks with Time-Varying Delays on Time Scales The Scientific World Journal |
| title | C1-Almost Periodic Solutions of BAM Neural Networks with Time-Varying Delays on Time Scales |
| title_full | C1-Almost Periodic Solutions of BAM Neural Networks with Time-Varying Delays on Time Scales |
| title_fullStr | C1-Almost Periodic Solutions of BAM Neural Networks with Time-Varying Delays on Time Scales |
| title_full_unstemmed | C1-Almost Periodic Solutions of BAM Neural Networks with Time-Varying Delays on Time Scales |
| title_short | C1-Almost Periodic Solutions of BAM Neural Networks with Time-Varying Delays on Time Scales |
| title_sort | c1 almost periodic solutions of bam neural networks with time varying delays on time scales |
| url | http://dx.doi.org/10.1155/2015/727329 |
| work_keys_str_mv | AT yongkunli c1almostperiodicsolutionsofbamneuralnetworkswithtimevaryingdelaysontimescales AT lilizhao c1almostperiodicsolutionsofbamneuralnetworkswithtimevaryingdelaysontimescales AT liyang c1almostperiodicsolutionsofbamneuralnetworkswithtimevaryingdelaysontimescales |