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Riverine flood potential assessment using metaheuristic hybrid machine learning algorithms

Abstract This study presents the performance of stand‐alone and novel hybrid models combining the feed‐forward neural network (FFNN) and extreme gradient boosting (XGB) with the genetic algorithm (GA) optimization to determine the riverine flood potential at a local spatial scale, which is represent...

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Autors principals: Matej Vojtek, Saeid Janizadeh, Jana Vojteková
Format: Artigo
Idioma:Inglês
Publicat: Wiley 2023-09-01
Col·lecció:Journal of Flood Risk Management
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Accés en línia:https://doi.org/10.1111/jfr3.12905
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