| 基于主成分回归的阿克苏市城市需水量预测 |
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| 引用本文： | 邱红霞.基于主成分回归的阿克苏市城市需水量预测[J].地下水,2010,32(2):97-99. |
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| 作者姓名： | 邱红霞 |
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| 作者单位： | 新疆兵团农一师勘测设计院,新疆,阿克苏,843000 |
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| 摘 要： | 科学地预测城市需水量对城市的发展具有十分重要的意义。城市需水量受到多重因素的影响，各因素之间的相关性较大，从而导致一些预测计算结果失真，使一些公式的适用性不是很强。为此，采用主成分回归建模，借助主成分分析与典型相关分析的思路，有效地解决了各因子之间的相关问题，建立了城市需水量预报模型。结果表明．模型的拟合和预报精度均较好。
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| 关 键 词： | 主成分回归 城市需水量 预测 相关性 |
Prediction of Aksu City Water Demand Quantity Based on Principal Component Regression |
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| QIU Hong-xia.Prediction of Aksu City Water Demand Quantity Based on Principal Component Regression[J].Groundwater,2010,32(2):97-99. |
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| Authors: | QIU Hong-xia |
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| Institution: | QIU Hong - xia ( Institute of Investigation and Design of Nong＇ yi＇ shi, Aksu City 843000, China) |
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| Abstract: | It is quite significant for the development of city to forecast scientifically the urban water demand. The urban water demand is influenced by many factors among which have multiple - correlation so that it can make some forecast results distort and make the adaptation of some formula weak. This paper adopts the method of Principal Component regression to build up model, through applying the idea of Principal Component analysis and typical correlation analysis, and uses the method of component sampling to solve effectively the correlation of different factors and to establish the forecast model of urban water demand quantity. Then it analyzes the model and finds that the fit and forecast accuracy of the model are better. |
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| Keywords: | Principal Component regression the urban water demand quantity prediction and relevance |
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