Adaptive neuro-fuzzy computing technique for suspended sediment estimation
Yazarlar (6)
Ozgur Kisi
Tefaruk Haktanir
Mehmet Ardiclioglu
Prof. Dr. Özgür ÖZTÜRK Türkiye
Ekrem Yalcin
Salih Uludag
Kastamonu Üniversitesi
Kastamonu Üniversitesi
| Makale Türü | Özgün Makale (Uluslararası alan indekslerindeki dergilerde yayınlanan tam makale) | ||
| Dergi Adı | Advances in Engineering Software | ||
| Makale Dili | – | Basım Tarihi | 06-2009 |
| Cilt / Sayı / Sayfa | 40 / 6 / 438–444 | DOI | – |
| Makale Linki | https://www.sciencedirect.com/science/article/pii/S096599780800118X | ||
| UAK Araştırma Alanları |
Süper İletkenler
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| 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. |
| Anahtar Kelimeler |
