一类混沌神经网络的研究
Study on a Class of Chaotic Neural Networks
摘要: 本文研究了延迟混沌神经网络的同步问题，引入一种新的自适应反馈控制器（包括状态相合控制和延迟状态相合控制），利用李雅普诺夫泛函研究了变系数情形下系统的同步性。最后利用数值模拟 验证了结论的有效性。
Abstract: This paper is concerned with the synchronization of the delayed chaotic neural net-works, it has a new adaptive feedback controller which includes state coupling control and delayed state coupling control. We study the case where the system is a variable coefficient. Also we discuss the stability conditions of synchronization by constructing a new Lyapunov functional. Example and numerical simulation are given to illustrate the effectiveness of the results.
文章引用：刘宝生, 郭龄玉. 一类混沌神经网络的研究[J]. 应用数学进展, 2022, 11(8): 6099-6106. https://doi.org/10.12677/AAM.2022.118642

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