Neuro-fuzzy modelling of suspended sediment load: The need for a sound comparison with established methods

被引:1
作者
Abrahart, Robert J. [1 ]
Ab Ghani, Ngahzaifa [1 ]
机构
[1] Univ Nottingham, Sch Geog, Nottingham NG7 2RD, England
关键词
Suspended sediment; Neuro-fuzzy; Rating curve; Bias correction; RATING CURVES; DISCHARGE;
D O I
10.1016/j.advengsoft.2010.02.001
中图分类号
TP39 [计算机的应用];
学科分类号
081203 ; 0835 ;
摘要
This paper questions the correctness of two bias-corrected sediment rating curve models that were used to compare and contrast traditional counterparts against state-of-the-art computational tools in a recent article on "Adaptive neuro-fuzzy computing technique for suspended sediment estimation" by Kisi et al. (2009). Mathematical and graphical procedures are used to demonstrate substantial and unexplained shortcomings in the reported equations. The superior performance of more advanced computational methods - such as neural network and neuro-fuzzy system solutions in the reported scenario - is thus brought into question. (C) 2010 Elsevier Ltd. All rights reserved.
引用
收藏
页码:874 / 878
页数:5
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