| 一类时滞递归神经网络的鲁棒稳定性 |
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| 引用本文： | 张国光,王林山.一类时滞递归神经网络的鲁棒稳定性[J].滨州学院学报,2011,27(3):5-8. |
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| 作者姓名： | 张国光 王林山 |
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| 作者单位： | 中国海洋大学数学科学学院,山东青岛,266071 |
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| 基金项目： | 国家自然科学基金资助项目 |
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| 摘 要： | 运用M-矩阵的性质、拓扑度理论、Liapunov泛函方法与不等式技巧,研究了一类时滞神经网络的全局鲁棒稳定性,给出了全局鲁棒稳定性的新的代数判据.
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| 关 键 词： | 神经网络 时滞 全局鲁棒稳定性 |
On Global Robust Stability for a Class of Recurrent Neural Networks with Delays |
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| ZHANG Guo-guang,WANG Lin-shan.On Global Robust Stability for a Class of Recurrent Neural Networks with Delays[J].Journal of Binzhou University,2011,27(3):5-8. |
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| Authors: | ZHANG Guo-guang WANG Lin-shan |
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| Institution: | ZHANG Guo-guang,WANG Lin-shan(Department of Mathematics,Ocean University of China,Qingdao 266071,China) |
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| Abstract: | By using properties of the M-matrix,topological degree theory,method of Liapunov function and inequality technique,the global robust stability for a class of recurrent neural networks with delays is studied,and a new algebraic criterion to judge the robust stability is given. |
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| Keywords: | neural network delay global robust stability |
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