ANN and MLR Model of Specific Fuel Consumption for Pyrolysis Oil Blended with Diesel used in a Single Cylinder Diesel Engine: A Comparative Study

Abstract

The main objective of the research is to compare the accurateness of Artificial Neural Networks (ANN) and Multiple Linear Regressions (MLR) model for Specific Fuel Consumption for pyrolysis oil blended with diesel used in a single cylinder diesel engine. In this study, parameters i.e. Injection Timing, Injection Pressure, Compression Ratio, and Load are taken. Artificial Neural Networks (ANN) and Multiple Linear Regressions (MLR) models were prepared using the results of Experiments to predict Specific Fuel Consumption for pyrolysis oil blended with diesel used in a single cylinder diesel engine. The results show that ANN prediction is more accurate than MLR prediction.