Urban flood forecasting with multi-output neural networks: a physically-based and data-driven approach
ABSTRACT Physically based models for spatial flood prediction are time and computationally expensive. Data-driven models, while faster, require large amounts of data for adjustment. This study presents an original methodology combining these two approaches, using a physically-based model (HEC-RAS 2D...
Saved in:
| Main Authors: | , , |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
Associação Brasileira de Recursos Hídricos
2025-05-01
|
| Series: | Revista Brasileira de Recursos Hídricos |
| Subjects: | |
| Online Access: | http://www.scielo.br/scielo.php?script=sci_arttext&pid=S2318-03312025000100216&lng=en&tlng=en |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|