Rainfall-runoff model usingan artificial neural network approach

The use of artificial neural networks (ANNs) is becoming increasingly common in the analysis of hydrology and water resources problems. In this research, an ANN was developed and used to model the rainfall-runoff relationship, in a catchment located in a semiarid climate in Morocco. The multilayer p...

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Bibliographic Details
Published in:Mathematical and computer modelling 2004, Vol.40 (7-8), p.839-846
Main Authors: Riad, Souad, Mania, Jacky, Bouchaou, L., Najjar, Y.
Format: Article
Language:English
Online Access:Get full text
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Summary:The use of artificial neural networks (ANNs) is becoming increasingly common in the analysis of hydrology and water resources problems. In this research, an ANN was developed and used to model the rainfall-runoff relationship, in a catchment located in a semiarid climate in Morocco. The multilayer perceptron (MLP) neural network was chosen for use in the current study. The results and comparative study indicate that the artificial neural network method is more suitable to predict river runoff than classical regression model.
ISSN:0895-7177