| 论变时滞高阶细胞神经网络模型的反周期解 |
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| 引用本文： | 黄祖达,彭乐群,徐敏.论变时滞高阶细胞神经网络模型的反周期解[J].山东大学学报(理学版),2012,47(10):121-126. |
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| 作者姓名： | 黄祖达 彭乐群 徐敏 |
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| 作者单位： | 湖南文理学院数学与计算科学学院, 湖南 常德 415000 |
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| 基金项目： | 教育部重点资助项目，湖南省高等学校自然科学基金项目 |
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| 摘 要： | 研究了具有变时滞的高阶细胞神经网络模型,得到了其反周期解存在性和指数稳定性的一类新的充分条件,并通过数值仿真图对实例进行了直观地说明。
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| 关 键 词： | 变时滞 细胞神经网络 反周期解 指数稳定性 |
| 收稿时间： | 2012-02-09 |
On anti-periodic solutions for high-order cellular neural networks model with time-varying delays |
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| HUANG Zu-da,PENG Le-qun,XU Min.On anti-periodic solutions for high-order cellular neural networks model with time-varying delays[J].Journal of Shandong University,2012,47(10):121-126. |
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| Authors: | HUANG Zu-da PENG Le-qun XU Min |
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| Institution: | College of Methematics and Computing Science, Hunan University of Arts and Science, Changde 415000, Hunan, China |
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| Abstract: | An anti-periodic solutions for high-order cellular neural networks with time-varying delays is studied. The new sufficient conditions for the existence and exponential stability of anti-periodic solutions are obtained. The results are illustrated by a numerical simulation example. |
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| Keywords: | time-varying delays cellular neural networks anti-periodic solution expontial stability |
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