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

2020 ◽  
Vol 32 (1) ◽  
pp. 49-61
Author(s):  
Moona Emrarian ◽  
Mahmoud Reza Sohrabi ◽  
Nasser Goudarzi ◽  
Fariba Tadayon
Keyword(s):  
Neural Network ◽  
Mass Spectrometry ◽  
Artificial Neural Network ◽  
Gas Chromatography ◽  
Polycyclic Aromatic Hydrocarbons ◽  
Random Forests ◽  
Aromatic Hydrocarbons ◽  
Gas Chromatography Mass Spectrometry ◽  
Time Prediction ◽  
Polycyclic Aromatic
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