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Published: Građevinar 67 (2015) 12
Paper type: Preliminary report
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Assessing ANFIS accuracy in estimation of suspended sediments

Seyed Morteza Seyedian, Hamed Rouhani

Abstract

Capabilities offered by an adaptive neuro-fuzzy inference system (ANFIS) in the estimation of daily sediment loads at four stations in the USA, are explored in the paper. For this purpose, models with various input combinations of data sets were constructed to enable identification of the best possible structure. The results show that the best ANFIS model exhibits better performance compared to the SRC model, in terms of the RMSE, MBE and R2 values. The results also indicate that the ANFIS model can be applied to facilitate modelling of nonlinear dynamics of complex systems.

Keywords
ANFIS, hysteresis, sediment concentration, sediment load

HOW TO CITE THIS ARTICLE:

Seyedian, S. M., Rouhani, H.: Assessing ANFIS accuracy in estimation of suspended sediments, GRAĐEVINAR, 67 (2015) 12, pp. 1165-1176, doi: https://doi.org/10.14256/JCE.1210.2015

OR:

Seyedian, S. M., Rouhani, H. (2015). Assessing ANFIS accuracy in estimation of suspended sediments, GRAĐEVINAR, 67 (12), 1165-1176, doi: https://doi.org/10.14256/JCE.1210.2015

LICENCE:

Creative Commons License
This paper is licensed under a Creative Commons Attribution 4.0 International License.
Authors:
Seyedian WEB
Seyed Morteza Seyedian
University of Gonbad-Kavous, Iran
Department of Watershed Management
Rouhani WEB
Hamed Rouhani
University of Gonbad-Kavous, Iran
Department of Watershed Management