Based on the experimental work an Artificial Neural Network (ANN) model was developed to predict BSFC and BTE. The input parameters were load, percentage of biodiesel, injection angle, injection pressure. The predictive ability of the developed network model for BSFC and BTE is excellent. The selected input parameter for this work is based on e review of the literature [23][24][25][26]. The comparison is made between network predicted Thermal efficiency with experimental **data** and which is shown in Fig. 11. The percentage of deviation between ANN predicted BTE with experimental BTE is exhibited in Fig. 12. The developed ANN model for Brake Thermal Efficiency (BTE) has a very low MSE content of 0.0069 along with RMSE of 0.66522% and MEP of 1.12% across all the test points. The correlation coefficient (R) for network estimated values is 0.995355. 