公开(公告)号：US07308366B2

公开(公告)日：2007-12-11

申请号：US11052289

申请日：2005-02-08

Applicant: Sang-joon Han

Inventor： Sang-joon Han

IPC: G06F15/00

CPC classification number: G05B17/02

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.

Abstract translation: 在确定回归模型的方法和使用回归模型预测测试混合物的组分浓度的方法中，确定回归模型的方法包括选择回归模型，生成多个观察点，每个观察点 多个具有预测目标值和测量值的观测点，确定多个观测点中的每一个观测点处的预测目标值和测量值的权重，并且通过反映预测值之间的差异的权重来获得计算量 通过将测量值应用于回归模型和预测目标值获得，并且确定回归模型的系数以最小化计算量。