中文说明：
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。
English Description：
BP_ AdaBoost model takes BP neural network as weak classifier, repeatedly trains BP neural network to predict sample output, and obtains strong classifier composed of multiple BP neural network weak classifiers by AdaBoost algorithm, and designs strong classifier by using this method.