Artificial neural network modeling of methane emissions at Istanbul Kemerburgaz-Odayeri landfill site

Ozcan H. K., Uçan O. N., Sahin U., Borat M., Bayat C.

JOURNAL OF SCIENTIFIC & INDUSTRIAL RESEARCH, cilt.65, sa.2, ss.128-134, 2006 (SCI-Expanded) identifier identifier

  • Yayın Türü: Makale / Tam Makale
  • Cilt numarası: 65 Sayı: 2
  • Basım Tarihi: 2006
  • Dergi Adı: JOURNAL OF SCIENTIFIC & INDUSTRIAL RESEARCH
  • Derginin Tarandığı İndeksler: Science Citation Index Expanded (SCI-EXPANDED), Scopus
  • Sayfa Sayıları: ss.128-134
  • İstanbul Üniversitesi Adresli: Evet

Özet

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.