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 | |