论文部分内容阅读
通过增加白信息量降低预测系统的灰度,以灰色GM(1,1)和GM(1,N)模型为基础,提出了多变量灰色数列预测模型——PGM(1,N)模型,并将PGM(1,2)模型用于实例。结论为利用多变量灰色数列预测模型适宜,预测精度较高。
Based on gray GM (1,1) and GM (1, N) models, the multivariate gray sequence prediction model - PGM (1, N) is proposed by increasing the amount of white information and reducing the gray level of the prediction system. Use the PGM (1,2) model for the example. Conclusion The prediction accuracy is high for using multivariate gray sequence prediction model.