Literature DB >> 18611453

Calibration model transfer for near-infrared spectra based on canonical correlation analysis.

Wei Fan1, Yizeng Liang, Dalin Yuan, Jiajun Wang.   

Abstract

In order to solve the calibration transformation problem in near-infrared (NIR) spectroscopy, a method based on canonical correlation analysis (CCA) for calibration model transfer is developed in this work. Two real NIR data sets were tested. A comparative study between the proposed method and piecewise direct standardization (PDS) was conducted. It is shown that the transfer results obtained with the proposed method based on CCA were better than those obtained by PDS when the subset had sufficient samples.

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Year:  2008        PMID: 18611453     DOI: 10.1016/j.aca.2008.05.072

Source DB:  PubMed          Journal:  Anal Chim Acta        ISSN: 0003-2670            Impact factor:   6.558


  3 in total

1.  Calibration Transfer Based on Affine Invariance for NIR without Transfer Standards.

Authors:  Yuhui Zhao; Ziheng Zhao; Peng Shan; Silong Peng; Jinlong Yu; Shuli Gao
Journal:  Molecules       Date:  2019-05-09       Impact factor: 4.411

2.  Algorithm of Stability-Analysis-Based Feature Selection for NIR Calibration Transfer.

Authors:  Zheyu Zhang; Yaoxiang Li; Chunxu Li; Zichun Wang; Ya Chen
Journal:  Sensors (Basel)       Date:  2022-02-20       Impact factor: 3.576

3.  Prediction approach of larch wood density from visible-near-infrared spectroscopy based on parameter calibrating and transfer learning.

Authors:  Zheyu Zhang; Yaoxiang Li; Ying Li
Journal:  Front Plant Sci       Date:  2022-10-04       Impact factor: 6.627

  3 in total

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