Studies from Islamic Azad University Add New Findings in the Area of Artificial Neural Networks (Retention Time Prediction of Polycyclic Aromatic Hydrocarbons In Gas Chromatography-mass Spectrometry Using Qspr Based On Random Forests and …)

摘要

By a News Reporter-Staff News Editor at Network Daily News – Investigators publish new report on Artificial Neural Networks. According to news reporting out of Tehran, Iran, by NewsRx editors, research stated, “In this study, a quantitative structure-property relationship (QSPR) was proposed using the random forests (RF) and artificial neural network (ANN) for determining the retention time (RT) of 123 polycyclic aromatic hydrocarbons (PAHs) in tire fire products. The data containing the RT of the PAHs were obtained by gas chromatography-mass spectrometry (GC-MS) method.”