Informed Neural Networks for Flood Forecasting With Limited Amount of Training Data
Abstract This study introduces a novel method called Informed Neural Networks (INNs), developed to enhance flood forecasting accuracy, particularly under limited data conditions. Accurate flood forecasts are crucial for timely evacuations, especially as heavy rainfall increasingly threatens areas pr...
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| Main Authors: | K. Komiya, H. Kiyotake, R. Nakada, M. Fujishima, K. Mori |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
Wiley
2025-03-01
|
| Series: | Water Resources Research |
| Subjects: | |
| Online Access: | https://doi.org/10.1029/2023WR036380 |
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