A Computational Intelligent Analysis Scheme for Optimal Engine Behavior by Using Artificial Neural Network Learning Models and Harris Hawk Optimization

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dc.authorscopusid57226654737
dc.authorscopusid57221078940
dc.contributor.authorSimsek O.I.
dc.contributor.authorAlagoz B.B.
dc.date.accessioned2024-08-04T20:03:56Z
dc.date.available2024-08-04T20:03:56Z
dc.date.issued2021
dc.departmentİnönü Üniversitesien_US
dc.descriptionUmniah and UWalleten_US
dc.description2021 International Conference on Information Technology, ICIT 2021 -- 14 July 2021 through 15 July 2021 -- 170653en_US
dc.description.abstractApplication of computational intelligence methods in data analysis and optimization problems can allow feasible and optimal solutions of complicated engineering problems. This study demonstrates an intelligent analysis scheme for determination of optimal operating condition of an internal combustion engine. For this purpose, an artificial neural network learning model is used to represent engine behavior based on engine data, and a metaheuristic optimization method is implemented to figure out optimal operating states of the engine according to the neural network learning model. This data analysis scheme is used for adjustment of optimal engine speed and fuel rate parameters to provide a maximum torque under Nitrous oxide emission constraint. Harris hawks optimization method is implemented to solve the proposed optimization problem. The solution of this optimization problem addresses eco-friendly enhancement of vehicle performance. Results indicate that this computational intelligent analysis scheme can find optimal operating regimes of an engine. © 2021 IEEE.en_US
dc.identifier.doi10.1109/ICIT52682.2021.9491656
dc.identifier.endpage365en_US
dc.identifier.isbn9781665428705
dc.identifier.scopus2-s2.0-85112163242en_US
dc.identifier.scopusqualityN/Aen_US
dc.identifier.startpage361en_US
dc.identifier.urihttps://doi.org/10.1109/ICIT52682.2021.9491656
dc.identifier.urihttps://hdl.handle.net/11616/92220
dc.indekslendigikaynakScopusen_US
dc.language.isoenen_US
dc.publisherInstitute of Electrical and Electronics Engineers Inc.en_US
dc.relation.ispartof2021 International Conference on Information Technology, ICIT 2021 - Proceedingsen_US
dc.relation.publicationcategoryKonferans Öğesi - Uluslararası - Kurum Öğretim Elemanıen_US
dc.rightsinfo:eu-repo/semantics/closedAccessen_US
dc.subjectArtificial Neural Networken_US
dc.subjectComputational Intelligenceen_US
dc.subjectEngine Modelingen_US
dc.subjectHarris Hawks Optimizationen_US
dc.subjectIntelligent Data Analysisen_US
dc.subjectNitrous Oxide Emissionsen_US
dc.subjectTorqueen_US
dc.titleA Computational Intelligent Analysis Scheme for Optimal Engine Behavior by Using Artificial Neural Network Learning Models and Harris Hawk Optimizationen_US
dc.typeConference Objecten_US

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