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Improved kernel PLS combined with wavelength variable importance for near infrared spectral analysis

  • Published:2017-09 Issue: Volume:168 Page:107-113
  • ISSN:0169-7439
  • Container-title:Chemometrics and Intelligent Laboratory Systems
  • language:en
  • Short-container-title:Chemometrics and Intelligent Laboratory Systems

Author:

Huang Xin,Xia Li

Funder

National Bureau of Statistics of P.R. China

Hunan Provincial Natural Science Foundation of China

Key Laboratory of Statistical information technology and data mining of State Statistics Bureau

Hunan Provincial Education Department of China

Publisher

Elsevier BV

Subject

Spectroscopy,Process Chemistry and Technology,Computer Science Applications,Software,Analytical Chemistry

Reference35 articles.

1. Handbook of Vibrational Spectroscopy,2002

2. Variables selection methods in near-infrared spectroscopy;Zou;Anal. Chim. Acta,2010

3. PLS-regression: a basic tool of chemometrics;Wold;Chemom. Intell. Lab. Syst.,2001

4. Generalized PLS regression;Xu;J. Chemom.,2001

5. A new strategy to prevent over-fitting in partial least squares models based on model population analysis;Deng;Anal. Chim. Acta,2015

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