Hybrid machine learning model based on feature decomposition and entropy optimization for higher accuracy flood forecasting
The advancement of machine learning model has widely been adopted to provide flood forecast. However, the model must deal with the challenges to determine the most important features to be used in in flood forecast with high-dimensional non-linear time series when involving data from various station...
| Main Authors: | Mohd Khairudin, Nazli, Mustapha, Norwati, Mohd Aris, Teh Noranis, Zolkepli, Maslina |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
Universitas Ahmad Dahlan
2024
|
| Online Access: | http://psasir.upm.edu.my/id/eprint/112130/ http://psasir.upm.edu.my/id/eprint/112130/1/1130-4442-1-PB.pdf |
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