| 时滞神经网络周期解存在性及全局指数稳定性 |
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| 引用本文： | 蒋利群. 时滞神经网络周期解存在性及全局指数稳定性[J]. 吉首大学学报(自然科学版), 2006, 27(1): 32-38 |
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| 作者姓名： | 蒋利群 |
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| 作者单位： | 吉首大学数学与计算机科学学院,湖南,吉首,416000 |
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| 基金项目： | TheScientificResearchPlanItemofHunanProvincialDepartmentofEducation(04C491) |
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| 摘 要： | 运用重合度理论、M-矩阵理论及李雅普诺夫方法，获得了带时滞神经网络周期解存在性和全局指数稳定性的充分条件.
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| 关 键 词： | 神经网络 周期解 全局指数稳定 M-矩阵 |
| 文章编号： | 1007-2985(2006)01-0032-07 |
| 修稿时间： | 2005-10-23 |
Existence and Globally Exponential Stability of Periodic Solutions for Neural Networks with Delays |
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| JIANG Li-qun. Existence and Globally Exponential Stability of Periodic Solutions for Neural Networks with Delays[J]. Journal of Jishou University(Natural Science Edition), 2006, 27(1): 32-38 |
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| Authors: | JIANG Li-qun |
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| Affiliation: | (College of Mathematics and Computer Science,Jishou University，Jishou 416000,Hunan China) |
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| Abstract: | The sufficient conditions ensuring existence and globally exponential stability of periodic solutions for neural networks with delays are obtained by using coincide degree,M-matrix theory and Liapunov function method. |
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| Keywords: | neural network periodic solutions globally exponential stability M-matrix |
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