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

Autor:	A. I. Yagubov, N. A. Imanova, N. H. Gasanova, Z. R. Agayeva, K. I. Haciyeva, Sh. Naseri
Rok vydání:	2019
Předmět:	business.industry General Chemical Engineering Fossil fuel ComputingMethodologies_IMAGEPROCESSINGANDCOMPUTERVISION 0211 other engineering and technologies Quantitative structure 02 engineering and technology General Chemistry Support vector machine ComputingMethodologies_PATTERNRECOGNITION Software 020401 chemical engineering Computer Science::Computer Vision and Pattern Recognition Computer Science::Multimedia Linear regression Kovats retention index 0204 chemical engineering business Biological system 021102 mining & metallurgy Mathematics
Zdroj:	Theoretical Foundations of Chemical Engineering. 53:1099-1105
ISSN:	1608-3431 0040-5795
DOI:	10.1134/s0040579519060150
Popis:	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.
Databáze:	OpenAIRE
Externí odkaz:	https://explore.openaire.eu/search/publication?articleId=doi_________::0a65f6a62284d528a4555148187967a0 https://doi.org/10.1134/s0040579519060150 Zobrazit plný text záznamu Plný text ve formátu PDF Plný text ve formátu HTML
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