BPneural network

代码说明：

说明：  BP_Adaboost模型即把BP神经网络作为弱分类器，反复训练BP神经网络预测样本输出，通过Adaboost算法得到多个BP神经网络弱分类器组成的强分类器，利用此方法设计出强分类器。(The BP_Adaboost model uses the BP neural network as a weak classifier, repeatedly trains the BP neural network to predict the sample output, and uses the Adaboost algorithm to obtain a strong classifier composed of multiple BP neural network weak classifiers. This method is used to design a strong classifier.)

文件列表：

BPneural network\Bp_Ada_Sort.m, 3070 , 2019-02-24
BPneural network\Bp_Ada_Sort.txt, 2331 , 2019-02-22
BPneural network\data.mat, 11820 , 2009-12-28
BPneural network\data1.mat, 46394 , 2009-09-09
BPneural network, 0 , 2019-02-26