Radial Basis Function Neural Network for Modeling Rating Curves
Publication: Journal of Hydrologic Engineering
Volume 8, Issue 3
Abstract
The establishment of a rating curve is an important problem in hydrology. Generally, a regression approach is applied to establish the relationship between stage and discharge. However, this approach fails in the cases where hysteresis is present in the data. The aim of the study is to investigate the potential of employing radial basis function (RBF) type neural networks for modeling stage-discharge relationships at gauging stations and to compare different types of networks. The results are promising and suggest that the neural network approach is highly viable. A comparison of the RBF models with backpropagation type neural networks reveals that the former is superior in performance for rating curves exhibiting hysteresis.
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Published In
Journal of Hydrologic Engineering
Volume 8 • Issue 3 • May 2003
Pages: 161 - 164
Copyright
Copyright © 2003 American Society of Civil Engineers.
History
Received: Nov 26, 2001
Accepted: Sep 30, 2002
Published online: Apr 15, 2003
Published in print: May 2003
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