Combination forecast model of urban water consumption

被引：0

作者：

Ma, Dan ^{[1
]}

Qing, Shengbai ^{[1
]}

机构：

[1] China Univ Mining & Technol, Sch Sci, Jiangsu 221008, Peoples R China

来源：

PROCEEDINGS OF FIRST INTERNATIONAL CONFERENCE OF MODELLING AND SIMULATION, VOL I: MODELLING AND SIMULATION IN SCIENCE AND TECHNOLOGY | 2008年

关键词：

forecasting of water consumption; grey-neural network; forecast precision; weighted coefficient;

D O I：

暂无

中图分类号：

TP39 [计算机的应用];

学科分类号：

081203 ; 0835 ;

摘要：

Seeking for a scientific and reasonable forecast model is the key point to ensure accurate and reliable prediction results for the urban water consumption. In this paper, a new model is established to solve the combinatorial weighted coefficients by using the forecast precision, and a simple method is introduced to solve the grey-neural network combination forecast model. Based on many examples, the flew urban water consumption forecast model is proved to be very effective and much more accurate.

引用

页码：352 / 356

页数：5

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