Performing sequential forward selection and variational autoencoder techniques in soil classification based on laser-induced breakdown spectroscopy

The feasibility and accuracy of several combination classification models, , quadratic discriminant analysis (QDA), random forest (RF), Bernoulli naïve Bayes (BNB), and support vector machine (SVM) classification models combined with either sequential feature selection (SFS) or dimensionality reduct...

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Bibliographic Details

Published in:	Analytical methods Vol. 13; no. 41; p. 4926
Main Authors:	Harefa, Edward, Zhou, Weidong
Format:	Journal Article
Language:	English
Published:	England 28.10.2021
Subjects:	Bayes Theorem Lasers Soil Spectrum Analysis Support Vector Machine
ISSN:	1759-9679, 1759-9679
Online Access:	Get more information
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