Variable selection in support vector regression using angular search algorithm and variance inflation factor-Reference-Cited by-同舟云学术

Variable selection in support vector regression using angular search algorithm and variance inflation factor

Published:2020-07-18 Issue:12 Volume:34 Page:
ISSN:0886-9383
Container-title:Journal of Chemometrics
language:en
Short-container-title:Journal of Chemometrics

Author:

Folli Gabriely S.¹^ORCID,Nascimento Márcia H.C.¹^ORCID,Paulo Ellisson H.¹^ORCID,Cunha Pedro H.P.¹^ORCID,Romão Wanderson¹²^ORCID,Filgueiras Paulo R.¹^ORCID

Affiliation:

1. Center of Competence in Petroleum Chemistry ‐ NCQP, Laboratory of Research and Development of Methodologies for Analysis of Oils ‐ LabPetro, Chemistry Department Federal University of Espírito Santo Av. Fernando Ferrari, 514 Vitória 29075‐910 Brazil

2. Science Department Federal Institute of Education, Science, and Technology of Espírito Santo Vila Velha 29106‐010 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.3282

Reference44 articles.

1. Petroleomics by electrospray ionization FT-ICR mass spectrometry coupled to partial least squares with variable selection methods: prediction of the total acid number of crude oils

2. Prediction of total acid number in distillation cuts of crude oil by ESI(‐) FT‐ICR MS coupled with chemometric tools;Terra LA;J Braz Chem Soc,2017

3. Determination of physicochemical properties of petroleum using 1H NMR spectroscopy combined with multivariate calibration

4. Determination of API Gravity and Total and Basic Nitrogen Content by Mid- and Near-Infrared Spectroscopy in Crude Oil with Multivariate Regression and Variable Selection Tools

5. Applied Regression Analysis

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