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

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

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...

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Bibliographic Details
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

Internet

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

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