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dc.contributor.authorAkolas, Halil Ibrahim
dc.contributor.authorKaleli, Aliriza
dc.contributor.authorBakirci, Kadir
dc.date.accessioned16/12/21 12:06
dc.date.available16/12/21 12:06
dc.date.issued2021
dc.identifier.issn0941-0643
dc.identifier.urihttp://dspace.beu.edu.tr:8080/xmlui/handle/20.500.12643/9956
dc.identifier.urihttps://doi.org/10.1007/s00521-020-05104-1
dc.description.abstractThis 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.sponsorshipAtaturk UniversityAtaturk University [2015/362]
dc.language.isoEnglish
dc.publisherSprınger London Ltd
dc.sourceNeural Computıng & Applıcatıons
dc.titleDesign and implementation of an autonomous EGR cooling system using deep neural network prediction to reduce NOx emission and fuel consumption of diesel engine
dc.typeArticle
dc.identifier.issue5
dc.identifier.startpage1655
dc.identifier.endpage1670
dc.identifier.doi10.1007/s00521-020-05104-1
dc.identifier.wosWOS:000541030500002
dc.identifier.volume33


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