研究提出了原始数据序列的动态摆动指数变换方法和GPPM(1)灰色模型。
The dynamic swing index transformation method of firsthand data sequence and GPPM (1) grey model is studed and set up.
在固定参数动态灰色预测模型基础之上进行改进，提出了可变参数动态灰色预测模型。
A variable parameter value rolling grey forecasting model (RGM) is constructed, which makes an enhancement to the fixed parameter value RGM.
此外还提出了用GM(1,1)模型对残差进行修正的灰色动态数据模型。
Besides, the grey dynamic data model that the residual is adjusted by GM (1, 1) is given.
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