中文说明：BP神经网络是一种多层前馈神经网络,该网络的主要特点是信号前向传递,误差反向传播。在前向传递中,输入信号从输入层经隐含层逐层处理,直至输出层。每一层的神经元状态只影响下一层神经元状态。如果输出层得不到期望输出,则转入反向传播,根据预测误差调整网络权值和阈值,从而使BP神经网络预测输出不断逼近期望输出。 , 请点击左侧文件开始预览 ！预览只提供20%的代码片段，完整代码需下载后查看 加载中 侵权举报
English Description：
BP neural network is a kind of multilayer feedforward neural network. The main characteristics of the network are signal forward transmission and error back propagation. In forward transmission, the input signal is processed layer by layer from the input layer through the hidden layer to the output layer. The state of neurons in each layer only affects the state of neurons in the next layer. If the output layer can not get the expected output, it will turn to back propagation, and adjust the network weight and threshold according to the prediction error, so that the BP neural network prediction output will continue to approach the expected output.