Rainfall prediction based on CNN-LSTM model under sliding window
As monthly rainfall is a long-term and complex process, this study utilized the characteristics of the sliding window to replace the current month’s data with the multi-month rainfall data set within the sliding window for predictive analysis. At the same time, a CNN-LSTM model was used to assist in...
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| Main Author: | |
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| Format: | Article |
| Language: | English |
| Published: |
Taylor & Francis Group
2025-12-01
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| Series: | European Journal of Remote Sensing |
| Subjects: | |
| Online Access: | https://www.tandfonline.com/doi/10.1080/22797254.2025.2540106 |
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