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Publication Details
AFRICAN RESEARCH NEXUS
SHINING A SPOTLIGHT ON AFRICAN RESEARCH
computer science
Rainfall-runoff model usingan artificial neural network approach
Mathematical and Computer Modelling, Volume 40, No. 7-8, Year 2004
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Description
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. © 2004 Elsevier Ltd. All rights reserved.
Authors & Co-Authors
Riad, S.
France, Lille
Université de Lille
Mania, Jacky
France, Lille
Université de Lille
Bouchaou, Lhoussaine
Morocco, Agadir
Faculté Des Sciences - Agadir
Najjar, Yacoub M.
United States, Manhattan
Kansas State University
Statistics
Citations: 184
Authors: 4
Affiliations: 3
Identifiers
Doi:
10.1016/j.mcm.2004.10.012
ISSN:
08957177
Research Areas
Environmental
Study Locations
Morocco