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Prediction of capillary gas chromatographic retention times of fatty acid methyl esters in human blood using MLR, PLS and back-propagation artificial neural networks
Authors:Gupta Vinod Kumar  Khani Hadi  Ahmadi-Roudi Behzad  Mirakhorli Shima  Fereyduni Ehsan  Agarwal Shilpi
Affiliation:a Department of Chemistry, Indian Institute of Technology Roorkee, Roorkee, UA 247667, India
b Department of Chemistry, King Fahd University of Petroleum and Minerals, Dhahran, Saudi Arabia
c Faculty of Chemistry, Tarbiat Moallem University, Tehran, Iran
d Chemistry Department, Faculty of Science, Vali-e-Asr University, Rafsanjan, Iran
e School of Studies in Chemistry, Jiwaji University, Gwalior, MP, India
Abstract:
Keywords:Quantitative structure-retention relationship (QSRR)   Fatty acid methyl esters   Gas chromatography   Artificial neural network (ANN)
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