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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Vydáno v:	Engineering applications of artificial intelligence Ročník 94
Hlavní autoři:	Shin, Seunghyup, Lee, Youngbok, Kim, Minjae, Park, Jihwan, Lee, Sangyul, Min, Kyoungdoug
Médium:	Journal Article
Jazyk:	angličtina
Vydáno:	Elsevier Ltd 01.09.2020
Témata:	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
On-line přístup:	Získat plný text
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