The present work also exhibits fruitful application of ANN model to estimate the output parameters of compression ignition engine fueled by NOME and Biogas with varying injection pressures. The results of developed ANN model is compared with actual results found by experimentation. From the error analysis, it was evident that the ANN predicted **data** matched the experimental **data** with high accuracy and correlation coefficient (R) values ranging from 0.977 to 0.999. The MEP was observed to be in the range of 1.1-4.57% with very low MSE. Study of proposed Back propagation network results concludes that ANN is one of the powerful predictor tools.
