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Çağıl, Gültekin, Nur Güler, Sena, Ünlü, Ayşe, Böyükdibi, Ömer, Tüccar, Gökhan (2023) Comparative analysis of Multiple linear Regression (MLR) and Adaptive Network-Based fuzzy Inference Systems (ANFIS) methods for vibration prediction of a diesel engine containing NH3 additive. Fuel, 350. 128686 doi:10.1016/j.fuel.2023.128686

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Reference TypeJournal (article/letter/editorial)
TitleComparative analysis of Multiple linear Regression (MLR) and Adaptive Network-Based fuzzy Inference Systems (ANFIS) methods for vibration prediction of a diesel engine containing NH3 additive
JournalFuel
AuthorsÇağıl, GültekinAuthor
Nur Güler, SenaAuthor
Ünlü, AyşeAuthor
Böyükdibi, ÖmerAuthor
Tüccar, GökhanAuthor
Year2023 (October)Volume350
PublisherElsevier BV
DOIdoi:10.1016/j.fuel.2023.128686Search in ResearchGate
Generate Citation Formats
Mindat Ref. ID17372302Long-form Identifiermindat:1:5:17372302:1
GUID0
Full ReferenceÇağıl, Gültekin, Nur Güler, Sena, Ünlü, Ayşe, Böyükdibi, Ömer, Tüccar, Gökhan (2023) Comparative analysis of Multiple linear Regression (MLR) and Adaptive Network-Based fuzzy Inference Systems (ANFIS) methods for vibration prediction of a diesel engine containing NH3 additive. Fuel, 350. 128686 doi:10.1016/j.fuel.2023.128686
Plain TextÇağıl, Gültekin, Nur Güler, Sena, Ünlü, Ayşe, Böyükdibi, Ömer, Tüccar, Gökhan (2023) Comparative analysis of Multiple linear Regression (MLR) and Adaptive Network-Based fuzzy Inference Systems (ANFIS) methods for vibration prediction of a diesel engine containing NH3 additive. Fuel, 350. 128686 doi:10.1016/j.fuel.2023.128686
In(2023) Fuel Vol. 350. Elsevier BV


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