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神经网络的混沌特性及其在加密通信中的应用
引用本文:刘年生,郭东辉,吴伯僖.神经网络的混沌特性及其在加密通信中的应用[J].计算机应用,2002,22(11):40-42,53.
作者姓名:刘年生  郭东辉  吴伯僖
作者单位:厦门大学,技术物理所,福建,厦门,361005
基金项目:国家自然科学基金项目 (698860 0 2 ,60 0 760 1 5),福建省自然科学基金项目 (A0 0 1 0 0 1 9)
摘    要:首先概括了能实现混沌动力学特点的主要神经网络模型及其产生混沌同步,混沌序列和混沌吸引子等复杂性的基本原理,介绍了如何利用混沌同步,混沌轨迹序列和混沌吸引子等复杂性特点实现通信加密算法,最后总结有关神经网络的混沌特性及其加密通信应用中需要进一步研究的一些课题。

关 键 词:神经网络  混沌特性  加密通信  混沌同步  混沌吸引子  混沌序列
文章编号:1001-9081(2002)11-0040-03

CHAOTIC PROPERTIES OF NEURAL NETWORK AND ITS APPLICATIONS IN SECURE COMMUNICATIONS
LIU Nian-sheng,GUO Dong-hui,WU Bo-xi.CHAOTIC PROPERTIES OF NEURAL NETWORK AND ITS APPLICATIONS IN SECURE COMMUNICATIONS[J].journal of Computer Applications,2002,22(11):40-42,53.
Authors:LIU Nian-sheng  GUO Dong-hui  WU Bo-xi
Abstract:Firstly, some main models of neural network which have chaotic dynamic properties are introduced. The elementary principles that neural network generate complexities, including chaotic synchronization, chaotic sequence and chaotic attractors are analyzed. Then, it is proposed how to implement secure communication by using the complex property of nonlinear dynamics. The chaotic properties of neural network and its application in secure communication need to be further researched, are finally summarized.
Keywords:neural network  secure communication  chaotic synchronization  chaotic attractor  chaotic sequence
本文献已被 CNKI 维普 万方数据 等数据库收录!
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