| 摘要: |
| 具有高度复杂非线性动力学特性的混沌神经网络系统已成为近年来进行加密通信应用研究的热点课题。本文首先概括了混沌神经网络的一些主要理论模型及其非性动力学系统的特点和复杂性，并分析人们如何利用混沌神经网络的系统的这些复杂非线性特点，如混沌同步和混沌吸引子等，进行加密通信的基本算法原理，最后总结有关混沌神经网络及其加密通信应用中所需要进一步研究的一些课题。 |
| 关键词: 混沌神经网络 保密通信 混沌同步 混沌吸引子 加密通信 |
| DOI：10.3969/j.issn.1001-893X. |
| 修订日期：2002-05-16 |
| 基金项目:国家自然科学基金 (No .6 9886 0 0 2 ,6 0 0 76 0 15 )，福建省自然科学基金 (No .A0 0 10 0 19)资助 |
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| Chaotic Neural Network and its Application in Secure Communications |
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| Abstract: |
| The chaotic neural networks with the characteristics of very complicated nonlinear dynamics have been a hot project of application to secure communications in recent years. This paper firstly deals with some main theoretic models, the characteristics and complexities of nonlinear dynamics of them. It analyzes the basic principles which chaotic neural networks are applied to secure communications using the complex property of nonlinear dynamics of them such as chaotic synchronization and chaotic attractors. It finally summarize the projects of chaotic neural network and its application to secure communications that needs to be further researched. |
| Key words: Secure communication,Chaotic neural network,Chaotic synchronization,Chaotic attractor |
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