Deve lopment of Artifi cial Neural Network Model for Diesel Fuel Properties Prediction using Vibrational Spectroscopy

摘要

This pa per des cri bes de ve lop ment of ar ti fi cial neu ral net work mo dels which can be used to cor re la te and pre dict die sel fuel properties from seve ral FTIR-ATR absorbances and Raman intensities as input va riables. Multilayer feed forward a