Application of artificial neural network to predict brake specific fuel consumption of retrofitted cng engine

• Main Authors: Jahirul, M.I., Saidur, Rahman, Masjuki, Haji Hassan
• Format: Article
• Language: English
• Published: SpringerOpen 2009
• Subjects: TA Engineering (General). Civil engineering (General); TJ Mechanical engineering and machinery
• Online Access: http://eprints.um.edu.my/6785/1/Application_of_artificial_neural_network_to_predict_brake_specific_fuel_consumption_of_retrofitted_cng_engine_%282%29.pdf; http://eprints.um.edu.my/6785/; http://ejum.fsktm.um.edu.my/article/811.pdf

In this paper the applicability of artificial neural networks (ANN) is investigated for a retrofitted compressed natural gas (CNG) fueled spark ignition (SI) internal combustion engine (ICE). A four cylinder carbureted petrol engine is converted to run with NG and used throughout the work. The neura...