Artificial neural networks applied for flood forecasting in ungauged basin – the Paranaíba river study case

Flow simulation using artificial neural networks (ANNs) in the modelling has been widely applied and has gained prominence in regions lacking data. The hydrological variables are subject to the influence of morphological characteristics and urbanization in the watershed. Statistical models, such as...

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Bibliographic Details
Published in:	Proceedings of the International Association of Hydrological Sciences Vol. 386; pp. 81 - 86
Main Authors:	Brandão, Abderraman R. A., de Menezes Filho, Frederico C. M., Oliveira, Paulo T. S., Fava, Maria C.
Format:	Journal Article Conference Proceeding
Language:	English
Published:	Gottingen Copernicus GmbH 19.04.2024 Copernicus Publications
Subjects:	Artificial neural networks Case studies Correlation analysis Flood forecasting Flood predictions Floods Flow simulation Hydrologic data Hydrology Machine learning Multilayer perceptrons Neural networks Performance evaluation Physical characteristics Precipitation Software Statistical models Urbanization Variables United States > US
ISSN:	2199-899X, 2199-8981, 2199-899X
Online Access:	Get full text
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