The Use of Recurrent Neural Networks (S-RNN, LSTM, GRU) For Flood Forecasting Based on Data Extracted from Classical Hydraulic Modeling

Online veröffentlicht: 13. Dez. 2024

Seitenbereich: 1 - 18

DOI: https://doi.org/10.2478/mmce-2023-0011

Schlüsselwörter

deep learning, neuronal networks, synthetic hydrographs, hydraulic modeling, forecasting hydrographs

© 2023 Andrei Mihai Rugină., published by Sciendo

This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License.