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dc.contributor.authorCansız, Ömer Faruk
dc.contributor.authorÜnsalan, Kevser
dc.contributor.authorÜneş, Fatih
dc.date.accessioned2022-11-01T06:38:41Z
dc.date.available2022-11-01T06:38:41Z
dc.date.issued2022en_US
dc.identifier.citationCansiz, O.F., Unsalan, K., Unes, F. (2022). Prediction of CO2 emission in transportation sector by computational intelligence techniques. International Journal of Global Warming, 27 (3), pp. 271-283. https://doi.org/10.1504/IJGW.2022.124202en_US
dc.identifier.urihttps://doi.org/10.1504/IJGW.2022.124202
dc.identifier.urihttps://hdl.handle.net/20.500.12508/2181
dc.description.abstractCarbon footprint is considered the main cause of global warming. There are various studies on environmental sustainability carried out global scale. In this study, prediction models were developed for CO2 emissions in transportation sector. Artificial neural networks (ANN), simple membership functions and fuzzy rule generation technique (SMRGT), support vector machine (SVM) and adaptive neuro fuzzy inference system (ANFIS) methods, which are artificial intelligence techniques (AI), and also multiple linear regression (MLR), which is a statistical method, were used for the analysis. As a result of the comparison the best performance was seen in ANN model.en_US
dc.language.isoengen_US
dc.publisherInderscience Publishersen_US
dc.relation.isversionof10.1504/IJGW.2022.124202en_US
dc.rightsinfo:eu-repo/semantics/closedAccessen_US
dc.subjectCarbon footprinten_US
dc.subjectCO2 emissionsen_US
dc.subjectGreen logisticen_US
dc.subjectTransport emissionsen_US
dc.subject.classificationDivisia Index
dc.subject.classificationLogarithmic Mean
dc.subject.classificationCarbon Emissions
dc.subject.classificationEnvironmental Sciences & Ecology
dc.subject.classification4 Electrical Engineering, Electronics & Computer Science - Supply Chain & Logistics - Vehicle Routing Problem
dc.titlePrediction of CO2 emission in transportation sector by computational intelligence techniquesen_US
dc.typearticleen_US
dc.relation.journalInternational Journal of Global Warmingen_US
dc.contributor.departmentMühendislik ve Doğa Bilimleri Fakültesi -- İnşaat Mühendisliği Bölümüen_US
dc.identifier.volume27en_US
dc.identifier.issue3en_US
dc.identifier.startpage271en_US
dc.identifier.endpage283en_US
dc.relation.publicationcategoryMakale - Uluslararası Hakemli Dergi - Kurum Öğretim Elemanıen_US
dc.contributor.isteauthorCansız, Ömer Faruk
dc.contributor.isteauthorÜnsalan, Kevser
dc.contributor.isteauthorÜneş, Fatih
dc.relation.indexWeb of Science - Scopusen_US
dc.relation.indexWeb of Science Core Collection - Science Citation Index Expanded


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