Design and implementation of an autonomous EGR cooling system using deep neural network prediction to reduce NOx emission and fuel consumption of diesel engine

dc.contributor.author	Akolas, Halil Ibrahim
dc.contributor.author	Kaleli, Aliriza
dc.contributor.author	Bakirci, Kadir
dc.date.accessioned	16/12/21 12:06
dc.date.available	16/12/21 12:06
dc.date.issued	2021
dc.identifier.issn	0941-0643
dc.identifier.uri	http://dspace.beu.edu.tr:8080/xmlui/handle/20.500.12643/9956
dc.identifier.uri	https://doi.org/10.1007/s00521-020-05104-1
dc.description.abstract	This study includes the design of an autonomous exhaust gas recirculation (EGR) cooling system and implementation of the system on diesel engine by using deep neural network (DNN)-based controller. The NOx formation and BSFC were optimized as output varia
dc.description.sponsorship	Ataturk UniversityAtaturk University [2015/362]
dc.language.iso	English
dc.publisher	Sprınger London Ltd
dc.source	Neural Computıng & Applıcatıons
dc.title	Design and implementation of an autonomous EGR cooling system using deep neural network prediction to reduce NOx emission and fuel consumption of diesel engine
dc.type	Article
dc.identifier.issue	5
dc.identifier.startpage	1655
dc.identifier.endpage	1670
dc.identifier.doi	10.1007/s00521-020-05104-1
dc.identifier.wos	WOS:000541030500002
dc.identifier.volume	33

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