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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Vydané v:	Proceedings of the International Association of Hydrological Sciences Ročník 386; s. 81 - 86
Hlavní autori:	Brandão, Abderraman R. A., de Menezes Filho, Frederico C. M., Oliveira, Paulo T. S., Fava, Maria C.
Médium:	Journal Article Konferenčný príspevok..
Jazyk:	English
Vydavateľské údaje:	Gottingen Copernicus GmbH 19.04.2024 Copernicus Publications
Predmet:	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
On-line prístup:	Získať plný text
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