Deep neural network model with Bayesian hyperparameter optimization for prediction of NOx at transient conditions in a diesel engine

Owing to increasing interest in the environment, particularly on air quality, regulations in the automobile industry have become stricter. Test cycles have been substituted to simulate real driving conditions, and they offer opportunities for researchers to satisfy regulations and predict emissions...

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Veröffentlicht in:	Engineering applications of artificial intelligence Jg. 94
Hauptverfasser:	Shin, Seunghyup, Lee, Youngbok, Kim, Minjae, Park, Jihwan, Lee, Sangyul, Min, Kyoungdoug
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	Elsevier Ltd 01.09.2020
Schlagworte:	Bayesian optimization Deep neural networks Diesel engine Hyperparameter optimization NO[formula omitted] prediction Transient cycle Hyperparameter optimization Diesel engine Deep neural networks Transient cycle Bayesian optimization NOx prediction
ISSN:	0952-1976, 1873-6769
Online-Zugang:	Volltext
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