| 变时滞脉冲BAM神经网络的稳定性(英文) |
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| 引用本文： | 高明. 变时滞脉冲BAM神经网络的稳定性(英文)[J]. 应用数学, 2012, 25(1): 160-166 |
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| 作者姓名： | 高明 |
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| 作者单位： | 包头师范学院数学科学学院,内蒙古包头,014030 |
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| 摘 要： | 本文研究了当脉冲不太频繁易受大的脉冲影响下的时滞BAM神经网络具有唯一的指数稳定的平衡点.分析采用一个推广的比较原理和M-矩阵理论,得到一些关于唯一平衡点的收敛性的简单可行的充分条件.所得结果推广和改进了已有文献的结果.
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| 关 键 词： | 双向联想记忆神经网络 全局指数稳定性 脉冲 时滞 |
Stability of Impulsive BAM Neural Networks with Time-varying Delays |
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| GAO Ming. Stability of Impulsive BAM Neural Networks with Time-varying Delays[J]. Mathematica Applicata, 2012, 25(1): 160-166 |
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| Authors: | GAO Ming |
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| Affiliation: | GAO Ming(College of Mathematical Science,Baotou Teachers’ College,Baotou 014030,China) |
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| Abstract: | This paper demonstrates that there is an unique exponentially stable equilibrium state in a delay BAM neural networks that is subject to large impulses that are not too frequent.The analysis exploits a generalized comparison principle and M-matrix theory to derive some easily verifiable sufficient conditions for convergence to the unique globally stable equilibrium state.The results extend and improve earlier publications. |
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| Keywords: | BAM neural networks Global exponential stability Impulses Delay |
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