Near Infrared Spectroscopic Model Transfer Based on Simple Linear Regression

作者：Yang Hui-Hua^*; Zhang Xiao-Feng; Fan Yong-Xian; Xie Pu-Mo; Chu Xiao-Li

来源：Chinese Journal of Analytical Chemistry, 2014, 42(9): 1229-1234.

• Near-infrared spectroscopy
• Model transfer
• Simple linear regression

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.

• 出版日期2014-9
• 单位中国石油化工股份有限公司石油化工科学研究院; 桂林电子科技大学