Hourly river flow forecasting: application of emotional neural network versus multiple machine learning paradigms
Monitoring hourly river flows is indispensable for flood forecasting and disaster risk management. The objective of the present study is to develop a suite of hourly river flow forecasting models for the Albert river, located in Queensland, Australia using various machine learning (ML) based models...
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| Main Authors: | , , , , , , |
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| Format: | Article |
| Published: |
Springer
2020
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| Subjects: | |
| Online Access: | http://eprints.utm.my/id/eprint/86830/ https://dx.doi.org/10.1007/s11269-020-02484-w |
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