Ridge regression combined with model complexity analysis for near infrared (NIR) spectroscopic model updating-Reference-Cited by-同舟云学术

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Ridge regression combined with model complexity analysis for near infrared (NIR) spectroscopic model updating

Published:2019-12 Issue: Volume:195 Page:103896
ISSN:0169-7439
Container-title:Chemometrics and Intelligent Laboratory Systems
language:en
Short-container-title:Chemometrics and Intelligent Laboratory Systems

Author:

Zhang Feiyu,Zhang Ruoqiu,Wang Wenming,Yang Wuye,Li Long,Xiong Yinran,Kang Qidi,Du Yiping

Funder

Technology Center, Shanghai Tobacco Group Corporation, Key Laboratory of Cigarette Smoke Research of CNTC

Publisher

Elsevier BV

Subject

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

Reference46 articles.

1. A review of the application of near-infrared spectroscopy for the analysis of potatoes;Lopez;J. Agric. Food Chem.,2013

2. Feasibility study on the use of visible-near-infrared spectroscopy for the screening of individual and total glucosinolate contents in broccoli;Hernandez-Hierro;J. Agric. Food Chem.,2012

3. Sampling error profile analysis (SEPA) for model optimization and model evaluation in multivariate calibration;Chen;J. Chemom.,2017

4. A new strategy of least absolute shrinkage and selection operator coupled with sampling error profile analysis for wavelength selection;Zhang;Chemometr. Intell. Lab. Syst.,2018

5. Recursive wavelength-selection strategy to update near-infrared spectroscopy model with an industrial application;Chen;Ind. Eng. Chem. Res.,2013

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