BP神经网络和Elman神经网络在模拟电路故障诊断中的应用

通过分析BP神经网络和Elman神经网络的基本结构和算法,研究了基于神经网络的模拟电路故障诊断方法,并通过仿真实验对比分析了BP神经网络和Elman神经网络的诊断能力。结果表明,BP神经网络的收敛速度相对较慢、训练时间长;Elman神经网络的结构参数调整简单、训练时间短、性能稳定,更适合存在容差、非线性等问题的模拟电路故障诊断。

Application of BP Neural Network and Elman Neural Network in Fault Diagnosis of Analog Circuit

This article studies the method of fault diagnosis of analog circuit based on the neural network,by analyzing the basic structure and the algorithm of BP neural network and Elman neural network.Then it contrastive analysis the diagnosis ability of BP neural network and Elman neural network through simulation.The results shows that BP neural network's convergence rate is relatively slow,and the training time is long;Elman neural network's parameter is simple to adjust,the training time is short,stable perfor...