作者: Ozgur Kisi , Tefaruk Haktanir , Mehmet Ardiclioglu , Ozgur Ozturk , Ekrem Yalcin
DOI: 10.1016/J.ADVENGSOFT.2008.06.004
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摘要: This paper investigates the accuracy of an adaptive neuro-fuzzy computing technique in suspended sediment estimation. The monthly streamflow and data from two stations, Kuylus Salur Koprusu, Kizilirmak Basin Turkey are used as case studies. estimation results obtained by using tested compared with those artificial neural networks rating curves. Root mean squared errors, absolute errors correlation coefficient statistics comparing criteria for evaluation models' performances. comparison reveal that models can be employed successfully