文章摘要
SU Haitao.基于偏最小二乘回归的水面蒸发量数学模型Journal of Water Resources and Water Engineering[J].,2011,22(6):
基于偏最小二乘回归的水面蒸发量数学模型
Mathematical model of water evaporation based on partial least-squares regression
  
DOI:10.11705/j.issn.1672-643X.2011.06.260
中文关键词: 偏最小二乘回归  水面蒸发量  数学模型  
英文关键词: partial least-square regression  water evaporation  mathematic model  
基金项目:
Author NameAffiliation
SU Haitao SU Haitao(Fanghui Hydropower Construction Survey and Design Co.,Ltd of Changjizhou,Xinjiang,Changji 831100,China) 
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中文摘要:
      利用气象因子计算水面蒸发量过程中,各自变量之间经常存在多重相关性,从而导致传统的多元回归模型(基于最小二乘法)的失真,丧失稳健性,预测精度降低。该文采用偏最小二乘回归建模,有效地解决了各气象因子之间的多重相关性,得到满意效果。
英文摘要:
      In the process of calculating water evaporation by the weather data,it was found that some independent variables had interactions with each other.This phenomenon can cause the distortion and destabilization of the traditional multivariate regression model based on least-square methods.The partial least-square regression for model was applied to effectively solve the interactive correlation among the independent variables and obtained satisfactory effect.
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