Retention time prediction of polycyclic aromatic hydrocarbons in gas chromatography–mass spectrometry using QSPR based on random forests and artificial neural network-Reference-Cited by-同舟云学术

Retention time prediction of polycyclic aromatic hydrocarbons in gas chromatography–mass spectrometry using QSPR based on random forests and artificial neural network

Published:2020-08-22 Issue:1 Volume:32 Page:49-61
ISSN:1040-0400
Container-title:Structural Chemistry
language:en
Short-container-title:Struct Chem

Author:

Emrarian Moona,Sohrabi Mahmoud Reza,Goudarzi Nasser,Tadayon Fariba

Publisher

Springer Science and Business Media LLC

Subject

Physical and Theoretical Chemistry,Condensed Matter Physics

Link

https://link.springer.com/content/pdf/10.1007/s11224-020-01614-9.pdf

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