Recent Developments on Statistical and Neural Network Tools Focusing on Biodiesel Quality

Abstract

The performance of both the traditional linear regression and Artificial Neural Network (ANN) techniques has been compared to check the validity to predict the properties of biodiesel and mixtures of diesel and biodiesel. We present on this paper a review on statistical and ANN applications to the Biodiesel quality. A case study is also presented showing the prediction of oxidative stability of Biodiesel using, for the first time, other official quality parameters instead of the chemical composition as input data. In this sense, our hope is that this paper would complement a series of recent review papers and catalyze future research in this rapidly evolving area.