单神经元电路的混沌保密通信

Chaotic Secure Communication of Single Neuron Circuit

人工神经元是构成人工神经网络的基本单元,研究了改进的神经元权值电路的构成,提出了基于模拟电子技术的人工神经元电路的混沌保密通信系统,应用EWB进行了电路实验仿真,设计了保密通信模拟电路系统,实验结果表明设计方案克服了混沌掩盖系统混沌信号能量小和占用频带宽等弱点,提高了通信系统的保密性能。

Artificial neurons are the basic units of artificial neural network,This paper studies the weights of the improved circuit neurons,proposes the chaotic secure communication system based on artificial neural circuits.And it is applied in the EWB simulation.The experimental results show that the design overcomes the weakness that the chaos masking system has low chaotic signal energy and ocoupies wide band-width and thus improves the security performance of the communication system.