| 时滞BAM神经网络稳定性分析 |
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| 引用本文： | 王娜,李曦达,刘彬. 时滞BAM神经网络稳定性分析[J]. 吉林工程技术师范学院学报, 2008, 24(1): 78-80 |
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| 作者姓名： | 王娜 李曦达 刘彬 |
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| 作者单位： | 吉林工程技术师范学院,基础科学系,吉林,长春,130052;燕山大学外国语学院,河北,秦皇岛,066004 |
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| 摘 要： | 研究了带有脉冲的时滞双向联想记忆(BAM)神经网络的稳定性问题。通过对网络系统的研究,根据脉冲的特点,采用Lyapunov稳定性理论和一些矩阵分析技巧,得到了脉冲时滞BAM神经网络的稳定性结论,其中包括稳定点的唯一性判据和稳定性的判据,说明脉冲时滞BAM神经网络的稳定性问题是网络本身的特性,最后通过数值算例验证了该结论的可行性和有效性。
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| 关 键 词： | BAM神经网络 时滞 脉冲 |
Stability of delay BAM neural networks |
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| WANG Na,LI Xi-da,LIU Bin. Stability of delay BAM neural networks[J]. Journal of Jilin Teachers Institute of Engineering and Technology(Natural Sciences Edition), 2008, 24(1): 78-80 |
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| Authors: | WANG Na LI Xi-da LIU Bin |
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| Abstract: | A class of delayed BAM neural networks with impulses is investigated in this paper.By using Lyapunov functions and analysis technique,we get some results for the stability of impulsive BAM neural networks with time delay,including the uniqueness and stability of the equiibrilium point,prove that the stability question of delayed BAM neural network of the pulse is a characteristic of the network itself.An example is given to show their feasibility and effectiveness. |
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| Keywords: | BAM neural networks delay pulse |
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