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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| Autores principales: | , , |
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| Formato: | Artigo |
| Lenguaje: | Inglês |
| Publicado: |
Wiley
2023-09-01
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| Colección: | Journal of Flood Risk Management |
| Materias: | |
| Acceso en línea: | https://doi.org/10.1111/jfr3.12905 |
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