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具有泄漏延迟的双向联想记忆(BAM)神经网络的反周期振荡

Anti-periodic oscillations of bidirectional associative memory (BAM) neural networks with leakage delays.

作者信息

Xu Changjin, Chen Lilin, Guo Ting

机构信息

1Guizhou Key Laboratory of Economics System Simulation, Guizhou University of Finance and Economics, Guiyang, P.R. China.

2School of Mathematics and Statistics, Guizhou University of Finance and Economics, Guiyang, P.R. China.

出版信息

J Inequal Appl. 2018;2018(1):68. doi: 10.1186/s13660-018-1658-2. Epub 2018 Apr 3.

Abstract

In this article, we discuss anti-periodic oscillations of BAM neural networks with leakage delays. A sufficient criterion guaranteeing the existence and exponential stability of the involved model is presented by utilizing mathematic analysis methods and Lyapunov ideas. The theoretical results of this article are novel and are a key supplement to some earlier studies.

摘要

在本文中,我们讨论了具有泄漏延迟的BAM神经网络的反周期振荡。利用数学分析方法和李雅普诺夫思想,给出了保证所涉及模型存在性和指数稳定性的充分判据。本文的理论结果是新颖的,是对一些早期研究的关键补充。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/cb3f/5882806/d713c9be93ce/13660_2018_1658_Fig1_HTML.jpg

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