Estimation of riverbank erosion by combining channel morphological models with AI techniques
Simulating riverbank erosion involves modeling the complex interactions between water flow, sediment transport, and bank stability. The present study employs a novel approach, combining the Self Organizing Map (SOM) algorithm and the Long Short-Term Memory (LSTM) network, to capture the behavior of...
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| Main Author: | Pin-Chun Huang |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
Taylor & Francis Group
2024-12-01
|
| Series: | Geomatics, Natural Hazards & Risk |
| Subjects: | |
| Online Access: | https://www.tandfonline.com/doi/10.1080/19475705.2024.2359983 |
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