Assessing ANFIS accuracy in estimation of suspended sediments

Assessing ANFIS accuracy in estimation of suspended sediments

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 possi...

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Bibliographic Details
Published in:Građevinar (Zagreb) Vol. 67; no. 12.; pp. 1165 - 1176
Main Authors: Seyed Morteza Seyedian, Hamed Rouhani
Format: Journal Article
Language:English
Published: Croatian Association of Civil Engineers 01-12-2015
Online Access:Get full text
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Summary: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.
ISSN:0350-2465
1333-9095
DOI:10.14256/JCE.1210.2015