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dc.contributor.authorOzcan, Hüseyin Kurtuluş
dc.contributor.authorBorat, Mehmet
dc.contributor.authorBayat, Cuma
dc.contributor.authorUçan, Osman Nuri
dc.contributor.authorSahin, Uğur
dc.date.accessioned2021-03-02T21:59:23Z
dc.date.available2021-03-02T21:59:23Z
dc.date.issued2006
dc.identifier.citationOzcan H. K. , Uçan O. N. , Sahin U., Borat M., Bayat C., "Artificial neural network modeling of methane emissions at Istanbul Kemerburgaz-Odayeri landfill site", JOURNAL OF SCIENTIFIC & INDUSTRIAL RESEARCH, cilt.65, sa.2, ss.128-134, 2006
dc.identifier.issn0022-4456
dc.identifier.othervv_1032021
dc.identifier.otherav_0a153cbf-307c-4c4f-99fb-77f75806a394
dc.identifier.urihttp://hdl.handle.net/20.500.12627/12540
dc.description.abstractThis Study reports on Istanbul Kemerburgaz-Odayeri (Turkey) solid waste landfills, models CH4, CO2, CO, atmospheric temperature parameters of this area, and predicts CH4 using Artificial Neural Networks (ANN). Here, ANN structure employs 4 input, 10 hidden and 1 output neurons. In order to evaluate performance of ANN model, statistical performance indices between real and estimated data have been measured and the correlation is found as 0.983 and 0.806 for training and testing respectively.
dc.language.isoeng
dc.subjectMühendislik
dc.subjectMühendislik ve Teknoloji
dc.subjectHarita Mühendisliği-Geomatik
dc.subjectMÜHENDİSLİK, MULTİDİSİPLİNER
dc.subjectMühendislik, Bilişim ve Teknoloji (ENG)
dc.titleArtificial neural network modeling of methane emissions at Istanbul Kemerburgaz-Odayeri landfill site
dc.typeMakale
dc.relation.journalJOURNAL OF SCIENTIFIC & INDUSTRIAL RESEARCH
dc.contributor.departmentİstanbul Üniversitesi , ,
dc.identifier.volume65
dc.identifier.issue2
dc.identifier.startpage128
dc.identifier.endpage134
dc.contributor.firstauthorID77376


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