说明：  针对公司财务预警问题，建立BP_Adaboost的强分类器模型，该模型把BP神经网络作为弱分类器，反复训练BP神经网络预测输出，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。
(Aiming at the problem of financial early warning, a strong classifier model of BP_Adaboost is established. The model regards BP neural network as a weak classifier, and trains the predictive output of BP neural network repeatedly. Through the Adaboost algorithm, a strong classifier composed of several weak classifiers of BP neural network is obtained.)