Adaptive Neuro-Fuzzy Inference System (Anfis) to Predict Ci Engine Parameters Fueled with Nano-Particles Additive to Diesel Fuel

• Main Authors: M., Ghanbari, G., Najafi, B., Ghobadian, R., Mamat, M. M., Noor, A., Moosavian
• Format: Conference or Workshop Item
• Language: English; English
• Published: IOP Publishing 2015
• Subjects: TJ Mechanical engineering and machinery
• Online Access: http://umpir.ump.edu.my/id/eprint/10532/1/ADAPTIVE%20NEURO-FUZZY%20INFERENCE%20SYSTEM%20%28ANFIS%29%20TO%20PREDICT%20CI%20ENGINE%20PARAMETERS%20FUELED%20WITH%20NANO-PARTICLES%20ADDITIVE%20TO%20DIESEL%20FUEL.pdf; http://umpir.ump.edu.my/id/eprint/10532/7/fkm-2015-najafi-%20Adaptive%20Neuro-Fuzzy%20Inference%20System.pdf; http://umpir.ump.edu.my/id/eprint/10532/; http://dx.doi.org/10.1088/1757-899X/100/1/012070
• Institution: Universiti Malaysia Pahang

This paper studies the use of adaptive neuro-fuzzy inference system (ANFIS) to predict the performance parameters and exhaust emissions of a diesel engine operating on nanodiesel blended fuels. In order to predict the engine parameters, the whole experimental data were randomly divided into training...