中立型驱动反应BAM神经网络的全局渐近同步性
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引用本文:李东华,刘开宇.中立型驱动反应BAM神经网络的全局渐近同步性[J].经济数学,2020,(1):20-24
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作者单位
李东华,刘开宇 (湖南大学 数学与计量经济学院湖南 长沙 410012) 
中文摘要:针对一类具有时滞的中立型驱动反应BAM神经网络,提出全局渐近同步性问题.不使用现有文献中传统的李雅普诺夫泛函、矩阵测度和线性矩阵不等式(LMI)等已被广泛应用于研究神经网络全局渐近同步性的方法,而是通过构造2个微分不等式 U1(t) 和 U1(t) ,利用微分不等式方程和不等式技巧解出2个不等式,得到能够确保中立型驱动反应BAM神经网络全局渐近同步的两个新的充分条件.
中文关键词:中立型驱动反应  BAM神经网络  全局渐近同步性  微分不等式
 
Global Asymptotic Synchronization of Neutral-type Driven-reactive BAM Neural Networks
Abstract:We analyze the global asymptotic synchronization of a class of neutral-type driving response BAM neural networks with time delays. Instead of using the traditional methods such as Lyapunov functional method, matrix measure method and linear matrix inequality (LMI) method which have been widely applied, we obtained two novel sufficient conditions on global asymptotic synchronization of the neutral-type driving response BAM neural networks by constructing two differential inequalities U1(t) and U1(t) ,solving them by using differential inequality formula and inequality techniques.
keywords:neutral-type driving response  BAM neural networks  global asymptotic synchronization  differential inequality
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