A combination strategy of random forest and back propagation network for variable selection in spectral calibration-Reference-Cited by-同舟云学术

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A combination strategy of random forest and back propagation network for variable selection in spectral calibration

Published:2018-11 Issue: Volume:182 Page:101-108
ISSN:0169-7439
Container-title:Chemometrics and Intelligent Laboratory Systems
language:en
Short-container-title:Chemometrics and Intelligent Laboratory Systems

Author:

Chen Huazhou,Liu Xiaoke,Jia Zhen,Liu Zhenyao,Shi Kai,Cai Ken

Funder

National Natural Scientific Foundation of China

China Postdoctoral Science Foundation

Natural Scientific Foundation of Guangxi

Guangdong Provincial Science and Technology Programs

Guangxi young and middle-aged

Publisher

Elsevier BV

Subject

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

Reference43 articles.

1. Applications of near-infrared spectroscopy in refineries and important issues to address;Chung;Appl. Spectrosc. Rev.,2007

2. Spectral range optimization for the near-infrared quantitative analysis of petrochemical and petroleum products: naphtha and gasoline;Lee;Appl. Spectrosc.,2006

3. FT-NIR spectroscopy for caffeine estimation in instant green tea powder and granules;Sinija;LWT - Food Sci. Technol. (Lebensmittel-Wissenschaft -Technol.),2009

4. Determination of total protein in hyperimmune serum samples by near-infrared spectrometry and multivariate calibration;Baddini;Anal. Biochem.,2010

5. A perspective demonstration on the importance of variable selection in inverse calibration for complex analytical systems;Yun;Analyst,2013

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