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脉冲时滞BAM神经网络稳定性研究
引用本文:魏静,李曦达,刘彬.脉冲时滞BAM神经网络稳定性研究[J].华北科技学院学报,2007,4(3):71-75.
作者姓名:魏静  李曦达  刘彬
作者单位:1. 华北科技学院,基础部,北京,东燕郊,101601
2. 燕山大学,河北,秦皇岛,066004
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的技巧,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论文的可行性和有效性.

关 键 词:BAM神经网络  时滞  脉冲
文章编号:1672-7169(2007)03-0071-05
修稿时间:2007-05-10

Stability of Delay BAM Neural Networks with Impulses
WEI Jing,LI Xi-da,LIU Bin.Stability of Delay BAM Neural Networks with Impulses[J].Journal of North China Institute of Science and Technology,2007,4(3):71-75.
Authors:WEI Jing  LI Xi-da  LIU Bin
Institution:1. Nirth China Institute of Science and Technology, Yanjiao Beijing-East 101601 ; 2. Yanshan University, Qinhuangdao Hebei 066004
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.
Keywords:BAM neural networks  impulses  Lyapunov
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