基于动量BP神经网络的混沌系统同步与保密通信研究

Synchronization and secure communication of chaotic system based on momentum BP neural network

基于动量BP神经网络技术,设计出了一种用于混沌系统同步的神经网络控制器,实现了混沌系统的同步控制。利用动量BP神经网络加快了同步速度,然后将混沌同步控制技术应用在Lorenz系统的保密通信中。仿真实验验证了本文所提方法在混沌保密通信应用中可行性与有效性。

Based on momentum BP neural network, a neural network controller is designed for the synchronization of chaotic systems. The momentum BP neural network is used to speed up the synchronization, and then the chaotic synchronization control technology is applied to the secure communication in Lorenz system. The simulation results verify the feasibility and effectiveness of the proposed method in the application of chaotic secure communication.