Invention Application
US20050187445A1 Method of determining a weighted regression model and method of predicting a component concentration of mixture using the weighted regression model 有权
使用加权回归模型确定加权回归模型的方法和预测混合物成分浓度的方法

  • Patent Title: Method of determining a weighted regression model and method of predicting a component concentration of mixture using the weighted regression model
  • Patent Title (中): 使用加权回归模型确定加权回归模型的方法和预测混合物成分浓度的方法
  • Application No.: US11052289
    Application Date: 2005-02-08
  • Publication No.: US20050187445A1
    Publication Date: 2005-08-25
  • Inventor: Sang-joon Han
  • Applicant: Sang-joon Han
  • Priority: KR10-2004-0008935 20040211
  • Main IPC: G06F17/18
  • IPC: G06F17/18 A61B5/00 G05B17/02
Method of determining a weighted regression model and method of predicting a component concentration of mixture using the weighted regression model
Abstract:
In a method of determining a regression model, and a method of predicting a component concentration of a test mixture using the regression model, the method of determining the regression model includes selecting a regression model, generating a plurality of observation points, each one of the plurality of observation points having a prediction target value and a measured value, determining a weight of the prediction target value and the measured value at each one of the plurality of observation points, and obtaining a calculation amount by reflecting the weights in differences between predicted values acquired by applying the measured values to the regression model and the prediction target values, and determining coefficients of the regression model to minimize the calculation amount.
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