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Model-based neural networks to predict emissions in a diesel engine operating with biodiesel blends of castor; Modelo basado en redes neuronales para predecir las emisiones en un motor diésel que opera con mezclas de biodiésel de higuerilla

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Author(s): Fabio Narváez | Fabio Emiro Sierra Vargas | Man uel Antonio Montene gro Mier

Journal: Informador Técnico
ISSN 0122-056X

Volume: 76;
Start page: 46;
Date: 2012;
Original page

Keywords: System identification | nonlinear systems | supervised neural networks | combustion engines | emissions.

ABSTRACT
Some identification methods of nonlinear systems using artificialneural networks are explained. Also, a model based on Neural Networks“Supervised Feed Forward” is presented, developed to identifyand predict the behavior of volumetric emissions from combustion of astationary diésel engine based on two input variables: the engine load and the mixture of castor biodiésel. The neural network training and model validation was performed by using the NNModel.
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