Adaptive Fast Orthogonal Search (FOS) algorithm for forecasting streamflow
Data-driven models for streamflow forecasting have attracted considerable attention, as they are independent of physical system features. The physical features of the river basin are extremely hard to collect, especially for large rivers. Empirical data-driven models, such as stochastic and regressi...
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| Main Authors: | , , , , , , , |
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| Format: | Article |
| Published: |
Elsevier
2020
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| Subjects: | |
| Online Access: | http://eprints.um.edu.my/25444/ https://doi.org/10.1016/j.jhydrol.2020.124896 |
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