Near Infrared Spectroscopic Model Transfer Based on Simple Linear Regression / 分析化学
Chinese Journal of Analytical Chemistry
; (12): 1229-1234, 2014.
Article
en Zh
| WPRIM
| ID: wpr-456491
Biblioteca responsable:
WPRO
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.
Texto completo:
1
Base de datos:
WPRIM
Tipo de estudio:
Prognostic_studies
Idioma:
Zh
Revista:
Chinese Journal of Analytical Chemistry
Año:
2014
Tipo del documento:
Article