Weighted multiscale support vector regression for fast quantification of vegetable oils in edible blend oil by ultraviolet-visible spectroscopy-Reference-Cited by-同舟云学术

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Weighted multiscale support vector regression for fast quantification of vegetable oils in edible blend oil by ultraviolet-visible spectroscopy

Published:2021-04 Issue: Volume:342 Page:128245
ISSN:0308-8146
Container-title:Food Chemistry
language:en
Short-container-title:Food Chemistry

Author:

Wu Xinyan,Bian Xihui^ORCID,Lin En,Wang Haitao,Guo Yugao,Tan Xiaoyao

Funder

Tianjin Science and Technology Program

China Scholarship Council

Special Foundation to Build Universities of Tianjin

Publisher

Elsevier BV

Subject

General Medicine,Food Science,Analytical Chemistry

Reference38 articles.

1. Facial emotion recognition using empirical mode decomposition;Ali;Expert Systems with Applications,2015

2. Short-term prediction of wind power using EMD and chaotic theory;An;Communications in Nonlinear Science and Numerical Simulation,2012

3. Identifying and quantifying adulterants in extra virgin olive oil of the picual varietal by absorption spectroscopy and nonlinear modeling;Aroca-Santos;Journal of Agricultural and Food Chemistry,2015

4. Neural networks applied to characterize blends containing refined and extra virgin olive oils;Aroca-Santos;Talanta,2016

5. FTIR-ATR determination of solid nonfat (SNF) in raw milk using PLS and SVM chemometric methods;Bassbasi;Food Chemistry,2014

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