论文部分内容阅读
首先介绍了人工神经网络的基本原理，然后详细介绍神经网络反向传播算法，包括ＢＰ网络的基本结构及学习算法，最后研究了人工神经网络ＢＰ算法在车灯调节装置故障中的应用。通过样本训练和检验，验证了人工神经网络ＢＰ算法在车灯调节装置故障诊断的可行性。
First of all, the basic principle of artificial neural network is introduced. Then the neural network back propagation algorithm is introduced in detail, including the basic structure and learning algorithm of BP network. Finally, the application of artificial neural network BP algorithm in the fault of headlamp adjusting device is studied. Through the sample training and testing, the feasibility of artificial neural network BP algorithm in the fault diagnosis of headlamp adjusting device is verified.