Adaptive neuro-fuzzy computing technique for suspended sediment estimation

Kisi O., HAKTANIR T., Ardichoglu M., Ozturk O., Yalcin E., Uludag S.

ADVANCES IN ENGINEERING SOFTWARE, cilt.40, sa.6, ss.438-444, 2009 (SCI-Expanded) identifier identifier

  • Yayın Türü: Makale / Tam Makale
  • Cilt numarası: 40 Sayı: 6
  • Basım Tarihi: 2009
  • Doi Numarası: 10.1016/j.advengsoft.2008.06.004
  • Dergi Adı: ADVANCES IN ENGINEERING SOFTWARE
  • Derginin Tarandığı İndeksler: Science Citation Index Expanded (SCI-EXPANDED), Scopus
  • Sayfa Sayıları: ss.438-444
  • Erciyes Üniversitesi Adresli: Evet

Özet

This paper investigates the accuracy of an adaptive neuro-fuzzy computing technique in suspended sediment estimation. The monthly streamflow and suspended sediment data from two stations, Kuylus and Salur Koprusu, in Kizilirmak Basin in Turkey are used as case studies. The estimation results obtained by using the neuro-fuzzy technique are tested and compared with those of the artificial neural networks and sediment rating curves. Root mean squared errors, mean absolute errors and correlation coefficient statistics are used as comparing criteria for the evaluation of the models' performances. The comparison results reveal that the neuro-fuzzy models can be employed successfully in monthly suspended sediment estimation. (C) 2008 Elsevier Ltd. All rights reserved.