Variable selection by permutation applied in support vector regression models-Reference-Cited by-同舟云学术

Variable selection by permutation applied in support vector regression models

Published:2022-09-26 Issue:10 Volume:36 Page:
ISSN:0886-9383
Container-title:Journal of Chemometrics
language:en
Short-container-title:Journal of Chemometrics

Author:

da Cunha Pedro H. P.¹^ORCID,de Paulo Ellisson H.¹^ORCID,Silveira Folli Gabriely¹^ORCID,Nascimento Márcia H. C.¹^ORCID,Moro Mariana K.¹^ORCID,Filgueiras Paulo R.¹^ORCID

Affiliation:

1. Chemometrics laboratory of the Center of Competence in Petroleum Chemistry – NCQP, Laboratory of Research and Methodologies Development for Petroleum Analysis – LabPetro, Chemistry Department Federal University of Espírito Santo Espírito Santo Brazil

Funder

Conselho Nacional de Desenvolvimento Científico e Tecnológico

Fundação de Amparo à Pesquisa e Inovação do Espírito Santo

Publisher

Wiley

Subject

Applied Mathematics,Analytical Chemistry

Link

https://onlinelibrary.wiley.com/doi/pdf/10.1002/cem.3444

Reference39 articles.

1. Photonic neural networks and learning machines

2. Comparing support vector machines with Gaussian kernels to radial basis function classifiers

3. A soft computing approach for the determination of crude oil viscosity: Light and intermediate crude oil systems

4. Determination of physicochemical properties of petroleum derivatives and biodiesel using GC/MS and chemometric methods with uncertainty estimation

5. Prediction of asphaltene precipitation using support vector regression tuned with genetic algorithms

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