高级搜索
李林, 付强. 偏最小二乘回归模型的城市水资源承载能力研究[J]. 水科学进展, 2005, 16(6): 822-825.
引用本文: 李林, 付强. 偏最小二乘回归模型的城市水资源承载能力研究[J]. 水科学进展, 2005, 16(6): 822-825.
shu
LI Lin, FU Qiang. Study on the city water resources capacity model with partial least-squares regression[J]. Advances in Water Science, 2005, 16(6): 822-825.
Citation: LI Lin, FU Qiang. Study on the city water resources capacity model with partial least-squares regression[J]. Advances in Water Science, 2005, 16(6): 822-825.
shu

偏最小二乘回归模型的城市水资源承载能力研究

Study on the city water resources capacity model with partial least-squares regression

    摘要
  • 摘要: 影响城市水资源承载力的各个因素中,经常存在多重相关性,采用传统最小二乘回归法建模,其估计参数存在较大误差,预测精度降低.运用偏最小二乘回归方法,借助主成分分析与典型相关分析,采用成分提取的方法,克服了自变量间的多重相关性,建立了城市水资源承载能力模型,并对模型进行了分析,得到较为满意的效果.

     

    Abstract: There is multi-correlation among the factors which impact the city water resources capacity The traditional least square method can distort and destabilize the multivariate regression model.The partial least-square regression(PLS) is applied to build the city water resources capacity model based on the main component analysis and typical correlation analysis.Through distilling component,the model is suggested to solve the interactive correlation among the independent variables.The author has analyzed the PLS1 model,the result is satisfactory.

     

    • HTML全文
    • 参考文献(12)
    • 相关文章
    • 施引文献
  • 资源附件(0)

/

返回文章
返回