Adaptive neuro-fuzzy computing technique for suspended sediment estimation

Kisi, Özgür; HAKTANIR, Tefaruk; Ardichoglu, Mehmet; Ozturk, Özgür; Yalcin, Ekrem; Uludag, Salih

doi:10.1016/j.advengsoft.2008.06.004

Adaptive neuro-fuzzy computing technique for suspended sediment estimation

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

ADVANCES IN ENGINEERING SOFTWARE, vol.40, no.6, pp.438-444, 2009 (SCI-Expanded)

Publication Type: Article / Article
Volume: 40 Issue: 6
Publication Date: 2009
Doi Number: 10.1016/j.advengsoft.2008.06.004
Journal Name: ADVANCES IN ENGINEERING SOFTWARE
Journal Indexes: Science Citation Index Expanded (SCI-EXPANDED), Scopus
Page Numbers: pp.438-444
Erciyes University Affiliated: Yes

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. (C) 2008 Elsevier Ltd. All rights reserved.