该代码是基于标准BP算法训练样本数据的代码，压缩包里包含代码和样本数据。 BP(Back Propagation)神经网络，即信号的正向传播+误差的反向传播，该网络是应用最广泛的一种神经网络模型。BP网络的设计主要包括输入层,隐层,输出层及各层之间的权值、阈值及传输函数等几个方面。-The code is based on code standard BP algorithm training data, compression bag containing the code and sample data. BP (Back Propagation) neural network, namely forward propagating signal+ back-propagation of error, the network is the most widely used neural network model. BP network design includes several aspects of the input layer, hidden layer and output layer weights between the layers, the threshold and the transfer function and so on.