An improved variable selection method for support vector regression in NIR spectral modeling-Reference-Cited by-同舟云学术

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An improved variable selection method for support vector regression in NIR spectral modeling

Published:2018-07 Issue: Volume:67 Page:83-93
ISSN:0959-1524
Container-title:Journal of Process Control
language:en
Short-container-title:Journal of Process Control

Author:

Xu Shu,Lu Bo,Baldea Michael,Edgar Thomas F.,Nixon Mark

Publisher

Elsevier BV

Subject

Industrial and Manufacturing Engineering,Computer Science Applications,Modelling and Simulation,Control and Systems Engineering

Reference29 articles.

1. Feature selection for support vector regression using probabilistic prediction;Yang,2010

2. Near-Infrared Spectroscopy: Principles, Instruments, Applications,2002

3. Comparing support vector machines to PLS for spectral regression applications;Thissen;Chemom. Intell. Lab. Syst.,2004

4. Support vector machine;Cortes;Mach. Learn.,1995

5. The Nature of Statistical Learning Theory;Vapnik,1995

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