Comparison of Chemometric Problems in Food Analysis Using Non-Linear Methods

Comparison of Chemometric Problems in Food Analysis Using Non-Linear Methods

Food analysis is a challenging analytical problem, often addressed using sophisticated laboratory methods that produce large data sets. Linear and non-linear multivariate methods can be used to process these types of datasets and to answer questions such as whether product origin is accurately label...

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Bibliographic Details
Main Authors: Werickson Fortunato de Carvalho Rocha, Charles Bezerra do Prado, Niksa Blonder
Format: Article
Language:English
Published: MDPI AG 2020-07-01
Series:Molecules
Subjects:
food analysis
chemometrics
non-linear methods
artificial neural networks (ANN)
self-organizing maps (SOM)
support vector machine (SVM)
Online Access:https://www.mdpi.com/1420-3049/25/13/3025

Internet

https://www.mdpi.com/1420-3049/25/13/3025

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