Application of Artificial Neural Networks for estimating index floods

This article presents an application of Artificial Neural Networks (ANNs) and multiple regression models for estimating mean annual maximum discharge (index flood) at ungauged sites. Both approaches were tested for 145 small basins in Slovakia in areas ranging from 20 to 300 km2. Using the objective...

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Bibliographic Details
Main Authors: Viliam ŠIMOR, Kamila HLAVČOVÁ, Silvia KOHNOVÁ, Ján SZOLGAY
Format: Artigo
Language:Inglês
Published: Earth Science Institute, Slovak Academy of Sciences, Slovakia 2012-12-01
Series:Contributions to Geophysics and Geodesy
Subjects:
index flood, catchment predictors, artificial neural networks (anns), multiple regression models
Online Access:https://journal.geo.sav.sk/cgg/article/view/79
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