A parametric study for specific fuel consumption of an intercooled diesel engine using a neural network

► Parametric study is executed to investigate on the engine specific fuel consumption. ► These data were used to enhance train and test a NN model using a MATLAB program. ► NN based model were found to be convincing by the experimental results. Turbocharging is a process wherein the amount of oxygen...

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Veröffentlicht in:	Fuel (Guildford) Jg. 93; S. 189 - 199
1. Verfasser:	Uzun, Abdullah
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	Kidlington Elsevier Ltd 01.03.2012 Elsevier
Schlagworte:	air Applied sciences combustion Diesel engine diesel engines Energy energy use and consumption Energy. Thermal use of fuels Engines and turbines Equipments for energy generation and conversion: thermal, electrical, mechanical energy, etc Exact sciences and technology Fuels Intercooling Neural networks oxygen research projects Scaled conjugate gradient algorithm Specific fuel consumption temperature Diesel engine Scaled conjugate gradient algorithm Specific fuel consumption Neural networks Intercooling Combustion Neural network Experimental study Algorithm Project Model test Thermal efficiency Performance
ISSN:	0016-2361, 1873-7153
Online-Zugang:	Volltext
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