Using partial least-squares regression to develop a model of rice evapotranspiration

被引：0
|
作者：
Fu, Q [1 ]
Wang, LK [1 ]
Song, L [1 ]
Xing, ZX [1 ]
机构：
[1] NE Agr Univ, Coll Water Conservancy & Civil Engn, Harbin 150030, Peoples R China
来源：
WATER-SAVING AGRICULTURE AND SUSTAINABLE USE OF WATER AND LAND RESOURCES, VOLS 1 AND 2, PROCEEDINGS | 2004年
关键词：
partial least-squares regression; evapotranspiration; rice; modeling;
D O I：
暂无
中图分类号：
S2 [农业工程];
学科分类号：
0828 ;
摘要：
Calculating the evapotranspiration with weather data, it was found that some independent variables had interactions with each other. This phenomenon can distort and destabilize the multivariate regression model of traditional least square method. The partial least-square regression for model was applied to model the rice evapotranspiration based on the main component analysis and typical correlation analysis of data. The model of rice evapotranspiration was suggested to solve the teractive correlation among the independent variables (weather parameters.) The model was found to be able to give satisfactory predictions.
引用
收藏
页码：550 / 557
页数：8
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