Near Infrared Spectroscopic Model Transfer Based on Simple Linear Regression
10.11895/j.issn.0253-3820.140290
- VernacularTitle:基于一元线性回归的近红外光谱模型传递研究
- Author:
Huihua YANG
;
Xiaofeng ZHANG
;
Yongxian FAN
;
Pumo XIE
;
Xiaoli CHU
- Publication Type:Journal Article
- Keywords:
Near-infrared spectroscopy;
Model transfer;
Simple linear regression
- From:
Chinese Journal of Analytical Chemistry
2014;(9):1229-1234
- CountryChina
- Language:Chinese
-
Abstract:
To solve the calibration transmission problem in near-infrared ( NIR) spectroscopy, a novel model transfer method, Simple Linear Regression Direct Standard-ization ( SLRDS ) , has been presented. To investigate the validity of the proposed method, a real corn sample NIR dataset was tested and the direct standardization ( DS ) method and piecewise direct standardization ( PDS ) method were involved as a comparison. Our results indicated that SLRDS can correct compressed NIR data differences among instruments and enable the user to share corn sample PLS calibration model among three instruments, at the same time it has higher prediction accuracy, fewer parameters and simpler model than DS and PDS.
