说明：  利用主成分分析法对BP神经网络的输入参数进行降维，然后进行网络的训练，PCA-BP处理的结果同单一的bp相比，不仅提高了网络的收敛速度，而且提高了网络对预测数据分类的精度
(Using principal component analysis method of BP neural network for dimensionality reduction of input parameters, and then training the network, PCA-BP deal with the results of a single bp, compared with not only improve the network convergence rate, and improve the network prediction data Classification accuracy)