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dc.contributor.authorÖzkan, Kemal
dc.contributor.authorIşık, Şahin
dc.contributor.authorÖzkan, Aysun
dc.contributor.authorBanar, Müfide
dc.date.accessioned2019-10-21T20:11:12Z
dc.date.available2019-10-21T20:11:12Z
dc.date.issued2015
dc.identifier.isbn978-1-4673-7751-5
dc.identifier.urihttps://hdl.handle.net/11421/20123
dc.descriptionInternational Symposium on Innovations in Intelligent SysTems and Applications (INISTA 2015) -- SEP 02-04, 2015 -- Madrid, SPAINen_US
dc.descriptionWOS: 000380428200027en_US
dc.description.abstractThis study presents a methodology for the prediction of solid waste composition in the urban area based on a set of limited samples. The methodology was applied by a case study for Eskisehir city in Turkey. For this purpose, Municipal Solid Waste (MSW) samples were collected for one year according to socioeconomic structure of districts. MSW samples were separated mainly into five groups of: paper-cardboard, metals, glass, plastics and food wastes as manually. The 75% of the values for each group were used as train data sets and the remains were used as test sets considering to income levels and population. It was used different curve fitting models for training of data and obtained different equations (power, exponential and polynomial) from the models. These equations were used for prediction of test sets and real values and test results were compared. Prediction accuracies were determined and interpreted according to different goodness of measurement values. It was seen that the effect of income level and population on waste composition from the degree of accuracy of this model is very important.en_US
dc.description.sponsorshipUniv Autonoma Madrid, Ai+daen_US
dc.language.isoengen_US
dc.publisherIEEEen_US
dc.rightsinfo:eu-repo/semantics/closedAccessen_US
dc.subjectMunicipal Solid Wasteen_US
dc.subjectWaste Compositionen_US
dc.subjectSocioeconomic Factorsen_US
dc.subjectCurve Fittingen_US
dc.titlePrediction for the Solid Waste Composition by use of Different Curve Fitting Models: A Case Studyen_US
dc.typeconferenceObjecten_US
dc.relation.journal2015 International Symposium On Innovations in Intelligent Systems and Applications (Inista) Proceedingsen_US
dc.contributor.departmentAnadolu Üniversitesi, Mühendislik Fakültesi, Çevre Mühendisliği Bölümüen_US
dc.identifier.startpage173en_US
dc.identifier.endpage178en_US
dc.relation.publicationcategoryKonferans Öğesi - Uluslararası - Kurum Öğretim Elemanıen_US
dc.contributor.institutionauthorÖzkan, Aysun
dc.contributor.institutionauthorBanar, Müfide


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