Adaptive neuro-fuzzy computing technique for suspended sediment estimation

Authors:
Ozgur Kisi;Tefaruk Haktanir;Mehmet Ardiclioglu;Ozgur Ozturk;Ekrem Yalcin;Salih Uludag
Affiliations:
Erciyes University, Engineering Faculty, Civil Engineering Department, 38039 Kayseri, Turkey;Erciyes University, Engineering Faculty, Civil Engineering Department, 38039 Kayseri, Turkey;Erciyes University, Engineering Faculty, Civil Engineering Department, 38039 Kayseri, Turkey;Erciyes University, Engineering Faculty, Civil Engineering Department, 38039 Kayseri, Turkey;Electrical Power Resources Survey and Development Administration, Ankara, Turkey;Electrical Power Resources Survey and Development Administration, Ankara, Turkey
Venue:
Advances in Engineering Software
Year:
2009

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Abstract

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.