Subagging for the improvement of predictive stability of extreme learning machine for spectral quantitative analysis of complex samples-Reference-Cited by-同舟云学术

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Subagging for the improvement of predictive stability of extreme learning machine for spectral quantitative analysis of complex samples

Published:2017-02 Issue: Volume:161 Page:43-48
ISSN:0169-7439
Container-title:Chemometrics and Intelligent Laboratory Systems
language:en
Short-container-title:Chemometrics and Intelligent Laboratory Systems

Author:

Zhang Caixia,Bian Xihui,Liu Peng,Tan Xiaoyao,Fan Qingjie,Liu Wei,Lin Ligang

Funder

National Natural Science Foundation of China

Science and Technology Plans of Tianjin

Publisher

Elsevier BV

Subject

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

Reference45 articles.

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2. Near-infrared spectroscopy applications in pharmaceutical analysis;Luypaert;Talanta,2007

3. Simultaneous spectrophotometric quantification of dinitrobenzene isomers in water samples using multivariate calibration methods;Lu;Chemom. Intell. Lab. Syst.,2016

4. Variable space boosting partial least squares for multivariate calibration of near infrared spectroscopy;Bian;Chemom. Intell. Lab. Syst.,2016

5. Multivariate concentration determination using principal component regression with residual analysis;Keithley;Trac-Trends Anal. Chem.,2009

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