Abstract：This paper proposes a normalized mapping rule of raw grey series by analysis of exponential function characteristics of the whitening differential equation, which makes the non-equigap grey prediction model NGM(1,1) fit for universal raw grey series, improves prediction precision greatly, meanwhile makes innovation to series with negative values and enlarges grey prediction theory. Finally, two examples demonstrate the keynotes above.
收稿日期: 2002-03-25
引用本文:
何雄君,孙国正,邵吉林. 基于归一化映射规则的一般灰预测模型NGM(1,1)[J]. , 2002, 41(3): 0-0.
何雄君,孙国正,邵吉林. Universal grey prediction model NGM(1, 1) based on a normalized mapping rule of raw grey series. , 2002, 41(3): 0-0.
