A comprehensive comparison of recent developed meta-heuristic algorithms for streamflow time series forecasting problem
Hydrological models play a crucial role in water planning and decision making. Machine Learning-based models showed several drawbacks for frequent high and a wide range of streamflow records. These models also experience problems during the training process such as over-fitting or trapping in search...
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Main Authors: | Ahmed, Ali Najah, Lam, To Van, Hung, Nguyen Duy, Thieu, Nguyen Van, Kisi, Ozgur, El-Shafie, Ahmed |
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Format: | Article |
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Elsevier
2021
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Subjects: | |
Online Access: | http://eprints.um.edu.my/28210/ |
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