BP-Adaboost

代码说明：

  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。(The BP-Adaboost model uses BP neural network as weak classifier to repeatedly train BP neural network to predict the sample output. Adaboost algorithm is used to obtain a strong classifier composed of weak BP neural network weak classifier.)

文件列表：

BP-Adaboost
...........\Bp_Ada_Fore.m,3851,2010-11-28
...........\Bp_Ada_Sort.m,4297,2010-11-28
...........\chapter5_1.pdf,78508,2010-11-28
...........\chapter5_2.pdf,78582,2010-11-28
...........\data.mat,11820,2009-12-28
...........\data1.mat,46394,2009-09-09
...........\html




...........\....\chapter5_1.html,12382,2010-11-28
...........\....\chapter5_2.html,14736,2010-11-28