基于BP神经网络的模拟电路诊断

文章重点阐述了BP神经网络原理和训练过程,结合模拟电路故障特点,论述了BP算法在模拟电路故障检测中应用方法的要点,评价了其中存在的优势和亟待解决的问题。证明了BP算法是解决模拟电路故障的一种可行性和重要性。

This paper focuses on the principle and training process of BP neural network, and combined with the fault characteristics of analog circuit, discusses the main points of the application of BP algorithm in analog circuit fault detection, and evaluates the existing advantages and urgent problems to be solved. It is proved that BP algorithm is feasible and important to solve analog circuit faults.