dc.contributor.author | Ozcan, Hüseyin Kurtuluş | |
dc.contributor.author | Borat, Mehmet | |
dc.contributor.author | Bayat, Cuma | |
dc.contributor.author | Uçan, Osman Nuri | |
dc.contributor.author | Sahin, Uğur | |
dc.date.accessioned | 2021-03-02T21:59:23Z | |
dc.date.available | 2021-03-02T21:59:23Z | |
dc.date.issued | 2006 | |
dc.identifier.citation | Ozcan 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.issn | 0022-4456 | |
dc.identifier.other | vv_1032021 | |
dc.identifier.other | av_0a153cbf-307c-4c4f-99fb-77f75806a394 | |
dc.identifier.uri | http://hdl.handle.net/20.500.12627/12540 | |
dc.description.abstract | This 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.iso | eng | |
dc.subject | Mühendislik | |
dc.subject | Mühendislik ve Teknoloji | |
dc.subject | Harita Mühendisliği-Geomatik | |
dc.subject | MÜHENDİSLİK, MULTİDİSİPLİNER | |
dc.subject | Mühendislik, Bilişim ve Teknoloji (ENG) | |
dc.title | Artificial neural network modeling of methane emissions at Istanbul Kemerburgaz-Odayeri landfill site | |
dc.type | Makale | |
dc.relation.journal | JOURNAL OF SCIENTIFIC & INDUSTRIAL RESEARCH | |
dc.contributor.department | İstanbul Üniversitesi , , | |
dc.identifier.volume | 65 | |
dc.identifier.issue | 2 | |
dc.identifier.startpage | 128 | |
dc.identifier.endpage | 134 | |
dc.contributor.firstauthorID | 77376 | |