Reverse modeling of a diesel engine performance by FCM and ANFIS

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dc.contributor.authorTütüncü, Kemal
dc.contributor.authorAllahverdi, Novruz
dc.date.accessioned2020-03-26T17:19:25Z
dc.date.available2020-03-26T17:19:25Z
dc.date.issued2007
dc.departmentSelçuk Üniversitesien_US
dc.descriptionInternational Conference on Computer Systems and Technologies and Workshop for PhD Students in Computing, CompSysTech '07 -- 14 June 2007 through 15 June 2007 -- 80703en_US
dc.description.abstractThe paper includes reverse modeling of a diesel engine performance and emission characteristics. Modeling is done by fuzzy clustering method (FCM) and Adaptive Neural Fuzzy Inference System (ANFIS). Firstly, outputs and inputs parameters of a diesel engine were replaced as part of system. Later, these parameters were grouped into optimal numbers independently by using FCM and K-means clustering algorithm. Later on, these optimal numbers of clustered parameters were used as inputs and outputs of ANFIS to model engine performance and emissions characteristic. Input of the systems were power, torque, specific fuel consumption (sfc), nox, co2 and hc whereas outputs were air flow ratio, fuel rate, pboost, load and cycle. It has been seen that the best results obtained from ANFIS system by using FCM. What the proposed system makes different from pioneers are to be first study of reverse modeling and finding results as intervals instead of points. One more thing is that the load factor has never been implemented in previous studies but included in this study. Last but not least, the proposed system finds outputs in correct optimal interval as 100% ratio by FCM clustering and ANFIS. © 2007 ACM.en_US
dc.identifier.doi10.1145/1330598.1330634en_US
dc.identifier.isbn9.78955E+12
dc.identifier.scopusqualityN/Aen_US
dc.identifier.urihttps://dx.doi.org/10.1145/1330598.1330634
dc.identifier.urihttps://hdl.handle.net/20.500.12395/21870
dc.identifier.volume285en_US
dc.indekslendigikaynakScopusen_US
dc.language.isoenen_US
dc.relation.ispartofACM International Conference Proceeding Seriesen_US
dc.relation.publicationcategoryKonferans Öğesi - Uluslararası - Kurum Öğretim Elemanıen_US
dc.rightsinfo:eu-repo/semantics/closedAccessen_US
dc.selcuk20240510_oaigen_US
dc.subjectANFISen_US
dc.subjectClusteringen_US
dc.subjectEngine performanceen_US
dc.subjectFCMen_US
dc.subjectK-meansen_US
dc.titleReverse modeling of a diesel engine performance by FCM and ANFISen_US
dc.typeConference Objecten_US

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