偏最小二乘回归模型在水文相关分析中的应用  

Application of Partial Least Squares Regression Model to the Related Analysis of Hydrology

作　　者：秦蓓蕾[1] 王文圣[1] 丁晶[1] 

机构地区：[1]四川大学水利水电工程学院,四川成都610065

出　　处：《四川大学学报（工程科学版）》2003年第4期115-118,共4页Journal of Sichuan University (Engineering Science Edition)

基　　金：自然科学基金重大资助项目(50099620)

摘　　要：介绍了偏最小二乘回归的基本原理、建模基本思路和交叉有效性判别方法,将偏最小二乘回归模型应用于水文相关分析,并与最小二乘回归模型进行比较分析。通过算例分析表明,该模型具有符合水文现象特性的合理结构及较高的相关分析精度,能很好的应用于水文相关分析中。The thesis discusses the basic principle,the basic modeling method and the cross validation of Partial Least Squares regression,which is applied in the related analysis of hydrology and is compared with the Least Squares regression.Analysis and examples indicate that it is more reasonable and more accurate and that it can be well applied in the related analysis of hydrology.

关 键 词：偏最小二乘回归 水文相关分析 最小二乘回归 

分 类 号：P333[天文地球—水文科学]