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。
English Description：
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.