脉冲Hopfield神经网络的概周期模型

Q2 Mathematics Journal of Mathematics of Kyoto University Pub Date : 2009-01-01 DOI:10.1215/KJM/1248983029

G. Stamov

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引用次数: 16

摘要

本文研究了脉冲Hopfield神经网络概周期解的存在唯一性问题。利用柯西矩阵的估计技术，给出了该类系统唯一概周期解的指数稳定性的新充分条件。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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Almost periodic models of impulsive Hopfield neural networks

In the present paper the problems of existence and uniqueness of almost periodic solutions for impulsive Hopfield neural networks are considered. The impulses are in fixed moments of time and by using the technique of estimation of the Cauchy�s matrix new sufficient conditions for the exponential stability of the unique almost periodic solution of such systems are given.

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来源期刊

Journal of Mathematics of Kyoto University 数学-数学

CiteScore

1.20

自引率

0.00%

发文量

期刊介绍： Papers on pure and applied mathematics intended for publication in the Kyoto Journal of Mathematics should be written in English, French, or German. Submission of a paper acknowledges that the paper is original and is not submitted elsewhere.