Genetic algorithm based support vector machine regression for prediction of SARA analysis in crude oil samples using ATR-FTIR spectroscopy-Reference-Cited by-同舟云学术

Genetic algorithm based support vector machine regression for prediction of SARA analysis in crude oil samples using ATR-FTIR spectroscopy

Published:2021-01 Issue: Volume:245 Page:118945
ISSN:1386-1425
Container-title:Spectrochimica Acta Part A: Molecular and Biomolecular Spectroscopy
language:en
Short-container-title:Spectrochimica Acta Part A: Molecular and Biomolecular Spectroscopy

Author:

Mohammadi Mahsa,Khanmohammadi Khorrami Mohammadreza,Vatani Ali,Ghasemzadeh Hossein,Vatanparast Hamid,Bahramian Alireza,Fallah Afshin

Publisher

Elsevier BV

Subject

Spectroscopy,Instrumentation,Atomic and Molecular Physics, and Optics,Analytical Chemistry

Reference47 articles.

1. Handbook of Petroleum Product Analysis;Speight,2015

2. Gas chromatographic analysis of whole oil samples: implications for biodegradation in the Niger Delta;Anyiam;J. Pet. Explor. Prod. Technol.,2016

4. Rheological behavior from light to heavy oils: construction of master curves;Ram;Energy Fuels,2016

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