分析化学Issue(9)：1229-1234,6.DOI:10.11895/j.issn.0253-3820.140290
基于一元线性回归的近红外光谱模型传递研究
Near Infrared Spectroscopic Model Transfer Based on Simple Linear Regression
摘要
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.关键词
近红外光谱/模型传递/一元线性回归Key words
Near-infrared spectroscopy/Model transfer/Simple linear regression引用本文复制引用
杨辉华,张晓凤,樊永显,谢谱模,褚小立..基于一元线性回归的近红外光谱模型传递研究[J].分析化学,2014,(9):1229-1234,6.基金项目
国家自然科学基金项目( Nos.21365008,61105004),广西自然科学基金资助项目( Nos.2012GXNSFAA053230,2013GXNSFBA019279),广西信息科学实验中心重点基金项目(No.2012-02),广西高等学校优秀人才资助计划项目(桂教人[2011]40号)资助 （ Nos.21365008,61105004）
