Artificial neural network based prediction of engine-out responses from a biodiesel fuelled compression ignition engine

Numerical simulations, based on relatively complex physical models developed for CFD, can accurately predict engine-out responses, but they require huge memory space and/or computation time. In terms of resources and computer time, artificial intelligence methodologies are more cost-effective. In th...

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Veröffentlicht in:	Thermal science 2023, Vol.27 (4 Part B), p.3433-3443
Hauptverfasser:	Kezrane, Cheikh, Habib, Houcine, Bayram, Mustafa, Alqahtani, Sultan, Alshehery, Sultan, Ikumapayi, Omolayo, Akinlabi, Esther, Akinlabi, Stephen, Loubar, Khaled, Menni, Younes
Format:	Artikel
Sprache:	eng
Schlagworte:	Computer Science Engineering Sciences Modeling and Simulation Neural and Evolutionary Computing Reactive fluid environment
Online-Zugang:	Volltext
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