Variational Mode Decomposition Weighted Multiscale Support Vector Regression for Spectral Determination of Rapeseed Oil and Rhizoma Alpiniae Offcinarum Adulterants

Variational Mode Decomposition Weighted Multiscale Support Vector Regression for Spectral Determination of Rapeseed Oil and Rhizoma Alpiniae Offcinarum Adulterants

The accurate prediction of the model is essential for food and herb analysis. In order to exploit the abundance of information embedded in the frequency and time domains, a weighted multiscale support vector regression (SVR) method based on variational mode decomposition (VMD), namely VMD-WMSVR, was...

Full description

Bibliographic Details
Main Authors: Xihui Bian, Deyun Wu, Kui Zhang, Peng Liu, Huibing Shi, Xiaoyao Tan, Zhigang Wang
Format: Article
Language:English
Published: MDPI AG 2022-08-01
Series:Biosensors
Subjects:
variational mode decomposition
support vector regression
adulteration
quality control
chemometrics
Online Access:https://www.mdpi.com/2079-6374/12/8/586

Internet

https://www.mdpi.com/2079-6374/12/8/586

Similar Items