Modelo basado en redes neuronales para predecir las emisiones en un motor diésel que opera con mezclas de biodiésel de higuerilla

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