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线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 The chaotic neural network with highly complex nonlinear dynamics has become a hot topic in the field of cryptographic communication applications in recent years. This paper first summarizes some major theoretical models of chaotic neural networks and the characteristics and complexity of their nonlinear dynamical systems, and analyzes how these people utilize these complex nonlinear characteristics of chaotic neural network systems, such as chaos synchronization and chaotic attractors, Carry on the basic algorithm principle of the encrypted communication, and finally summarize some questions that need to be further studied in the application of chaotic neural network and its encryption communication