Improving Fuel Consumption Prediction for Marine Diesel Engines Using Hierarchical Neural Networks and Pulsating Exhaust Models

Predicting end-of-process variables in internal combustion engines, such as brake-specific fuel consumption or pollutant emissions, is crucial for engine design decisions. However, errors in common multi-layer-perceptron-based artificial neural network models often match the magnitude of the expecte...

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Detalhes bibliográficos

Principais autores:	Anibal Aguillon Salazar, Georges Salameh, Pascal Chesse, Nicolas Bulot, Yoann Thevenoux
Formato:	Artigo
Idioma:	Inglês
Publicado em:	MDPI AG 2024-12-01
Colecção:	Energies
Assuntos:	diesel engines neural networks fuel consumption metamodel mean-value engine model pulse unsteadiness
Acesso em linha:	https://www.mdpi.com/1996-1073/18/1/17
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