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Volumetric efficiency modelling of internal combustion engines based on a novel adaptive learning algorithm of artificial neural networks

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Volumetric efficiency modelling of internal combustion engines based on a novel adaptive learning algorithm of artificial neural networks

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Luján, JM.; Climent, H.; García-Cuevas González, LM.; Moratal-Martínez, AA. (2017). Volumetric efficiency modelling of internal combustion engines based on a novel adaptive learning algorithm of artificial neural networks. Applied Thermal Engineering. 123:625-634. https://doi.org/10.1016/j.applthermaleng.2017.05.087

Por favor, use este identificador para citar o enlazar este ítem: http://hdl.handle.net/10251/148900

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Title: Volumetric efficiency modelling of internal combustion engines based on a novel adaptive learning algorithm of artificial neural networks
Author: Luján, José M. Climent, H. García-Cuevas González, Luis Miguel Moratal-Martínez, Ausias Alberto
UPV Unit: Universitat Politècnica de València. Departamento de Máquinas y Motores Térmicos - Departament de Màquines i Motors Tèrmics
Issued date:
Abstract:
[EN] Air mass flow determination is one of the main variables on the control of internal combustion engines. Effectiveness of intake air systems is evaluated through the volumetric efficiency coefficient. Intake air systems ...[+]
Subjects: Artificial neural networks , Adaptive learning , Diesel engines modelling , Volumetric efficiency
Copyrigths: Reconocimiento - No comercial - Sin obra derivada (by-nc-nd)
Source:
Applied Thermal Engineering. (issn: 1359-4311 )
DOI: 10.1016/j.applthermaleng.2017.05.087
Publisher:
Elsevier
Publisher version: https://doi.org/10.1016/j.applthermaleng.2017.05.087
Project ID:
UPV/FPI-S1-2015-2512
Thanks:
Authors want to acknowledge the "Apoyo para la investigacion y Desarrollo (PAID)", grant for doctoral studies (FPI S1 2015 2512), of Universitat Politecnica de Valencia.
Type: Artículo

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