Daily Rainfall Forecasting Using Meteorology Data with Long Short-Term Memory (LSTM) Network
Rainfall is a natural climatic phenomenon and prediction of its value is crucial for weather forecasting. For time series data forecasting, the Long Short-Term Memory (LSTM) network is shown to be superior as compared to other machine learning algorithms. Therefore, in this research work, a LSTM net...
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| Main Authors: | , |
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| Format: | Article |
| Language: | English |
| Published: |
2022
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| Subjects: | |
| Online Access: | http://ir.unimas.my/id/eprint/37913/1/Daily%20Rainfall%20Forecasting%20Using%20Meteorology.pdf http://ir.unimas.my/id/eprint/37913/ |
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| Institution: | Universiti Malaysia Sarawak |
| Language: | English |