混沌神经网络的同步及其在保密通信中的应用  

Synchronization of Chaotic Neural Networks and Its Applications in Secure Communications

作　　者：任晓林[1] 胡光锐[1] 谭政华[1] 

机构地区：[1]上海交通大学电子工程系,上海200030

出　　处：《上海交通大学学报》2000年第6期744-747,共4页Journal of Shanghai Jiaotong University

基　　金：国家自然科学基金资助项目 !(69672007)

摘　　要：利用神经网络的学习、逼近能力构造混沌神经网络 ,提出非线性反馈控制混沌同步方法来同步两个混沌神经网络 ,并基于混沌神经网络的同步给出一种新的混沌保密通信系统 .理论分析和数值实验结果表明 ,新系统具有较强的通用性和柔韧性 ,且有同步速度快。Synchronization of discrete chaotic systems (i.e. chaotic maps) and its applications in digital secure communications were investigated. These chaotic maps were achieved by designing chaotic neural networks, which are implemented by learning the dynamics of chaotic systems with neural networks. The nonlinear feedback control method was presented to synchronize two identical copies of chaotic neural networks, and a new chaotic secure communication scheme was given based on the synchronization of the networks. The numerical experiments show that the proposed secure communication scheme has advantages of flexible implementation, fast synchronization, high quality recovery information and large amounts of secret key for information encryption.

关 键 词：混沌神经网络 混沌同步 保密通信 语音通信 应用 

分 类 号：TP18[自动化与计算机技术—控制理论与控制工程] TN918[自动化与计算机技术—控制科学与工程]