Study of Quantitative Structure Equilibrating Interaction of Retention Indices of Monomethylalkanes in Fossil Fuels by Multiple Linear Regression and Vector

A. I. Yagubov; Sh. Naseri; Z. R. Agayeva; N. A. Imanova; K. İ. Haciyeva; N. H. Gasanova

doi:10.1134/S0040579519060150

Study of Quantitative Structure Equilibrating Interaction of Retention Indices of Monomethylalkanes in Fossil Fuels by Multiple Linear Regression and Vector

Authors: Yagubov A.I.¹, Naseri S.¹, Agayeva Z.R.¹, Imanova N.A.¹, Haciyeva K.İ.¹, Gasanova N.H.¹
Affiliations:
1. Academician M. Naghiyev Institute of Catalysis and Inorganic Chemistry of ANAS
Issue: Vol 53, No 6 (2019)
Pages: 1099-1105
Section: Article
URL: https://bakhtiniada.ru/0040-5795/article/view/173248
DOI: https://doi.org/10.1134/S0040579519060150
ID: 173248

Cite item

Full Text

Open Access
Restricted Access

Access granted
Restricted Access

Subscription Access

Abstract
About the authors
References
Supplementary files
Statistics

Abstract

A support vector machine model in quantitative structure–property interaction was developed for predicting retention indices of monomethylalkanes of fuel. The total number of descriptors was calculated with Dragon software, and a subset of calculated descriptors was selected from some classes of Dragon descriptors with a stepwise multiple linear regression.