decumulative frequency

In accordance with analysis of various examples, this paper points out that so far as same primitive sequence is concerned, forecasting value of GM(1,1) enlarges when the calculating null point rises, and the second term of the new sequence decreases, and cumulative number increases.

根據各種應用實例的分析，指出對于同一原始序列來說，當計算零點升高、新序列的第二項減小或累加次數增多時，ＧＭ（１，１）模型的預測值增大，同時指出這些問題是由ＧＭ（１，１）模型本身的特點所決定的。

So in this paper,an improved gray forecasting model was proposed based on the basic principles of grey model which use one-accumulated exponential model.

灰色預測模型要求原始數據序列滿足指數規律,而實際上城市用水波動性大,無典型指數趨勢變化,而一般呈代數曲線形式變化,因此本文提出了改進的灰色模型在城市年用水量預測中的應用,改進的灰色預測模型主要基于灰色預測模型一次累加的建模思路。

s one-accumulate living water quantity time-series data have the obvious line trend; The industry water quantity time-series data obey one kind of variety polynomial.

在對某市年用水量隨機時間序列原始數據進行預處理的基礎上,發現年生活用水量的一次累加時間序列數據具有明顯的線性趨勢。

Because of the city s annual water consumption forecasting time-series has the characteristics of randomness,and one-accumulate methods has the characteristics of smoothing time-series randomness,improving rule ness and it s easy for regressing.

基于年需水量原始時間序列具有非線性隨機變化的特點,而一次累加法具有削弱時間序列隨機性、增加時間序列規律性、便于回歸函數擬合的特點,該文提出了一次累加回歸分析法在城市年需水量預測中的應用。