| 将偏最小二乘回归模型应用于非点源负荷预测 |
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| 引用本文： | 陈馨,楚宪法.将偏最小二乘回归模型应用于非点源负荷预测[J].水利科技与经济,2013(11):7-9,28. |
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| 作者姓名： | 陈馨 楚宪法 |
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| 作者单位： | [1]四川大学水利水电学院,成都610065 [2]重庆市地勘局208水文地质工程地质队,重庆600700 |
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| 摘 要： | 介绍了偏最小二乘回归的基本原理,建模思路和方法,将偏最小二乘回归模型应用于泾河流域非点源污染年负荷量预算,对计算结果的代表性和有效性进行了分析,并将其与最小二乘的多元回归模型预测结果进行了对比.实例计算分析结果表明,偏最小二乘回归分析对于反映因变量与多个相关性自变量之间的关系有较高的精度.
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| 关 键 词： | 偏最小二乘回归 非点源污染 实例分析 模型评价 |
Discussion about Partial-least Squares Regression Model Applying to Load Forecasting of Non-point Source Pollution |
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| Affiliation: | CHEN Xin, CHU Xian- fa (1. College of Water Resources ＆ Hydropower , Sichuan University, Chengdu 610065, China; 2. Chongqing City Geological Prospecting Bureau 208 Hydrogeological Enginering Team, Chongqing 600700, China) |
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| Abstract: | The thesis discusses the basic principle , the modeling way and the method of partial least - squares regression method （ PLS）, use the PLS model to estimate the annual load of non - point source pollution （NSP） ,then analyze the representative and effective of the results, and compare the results with the ones of least square regressive method. The outcomes shows that PLS is more accurate in reflecting the relationship of the independent variable and the dependent variables. |
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| Keywords: | partial least - squares regression non - point source pollution example analysis model evaluation |
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