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

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

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Resumo

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.