Using artificial neural networks for representing the air flow rate through a 2.4 liter VVT engine

SAE Technical Papers

Volumn , Issue , 2004, Pages

  Wu, Bin ^a   Filipi, Zoran ^a   Assanis, Dennis ^a   Kramer, Denise M ^b   Ohl, Gregory L ^b   Prucka, Michael J ^b   Divalentin, Eugene ^b  

^a UNIVERSITY OF MICHIGAN   (United States)

^b CENTRO RICERCHE FIAT   (Italy)

Author keywords

[No Author keywords available]

Indexed keywords

AIR; ENGINES; FLOW RATE; NETWORK ARCHITECTURE; NETWORK LAYERS; NEURAL NETWORKS; POWERTRAINS;

ANN TRAININGS; DYNAMIC MANEUVERS; FEED-FORWARD NETWORK; INTAKE AND EXHAUST; OPERATING CONDITION; PRACTICAL RECOMMENDATION; RAPID PROTOTYPE CONTROLLERS; VARIABLE VALVE TIMING;

AIR INTAKES;

EID: 85072441543     PISSN: 01487191     EISSN: 26883627     Source Type: Journal    
DOI: 10.4271/2004-01-3054     Document Type: Conference Paper

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