Accuracy enhancement for monthly evaporation predicting model utilizing evolutionary machine learning methods
Evaporation is an important parameter for water resource management. In this article, two case studies with different climates were considered in the prediction of monthly evaporation. The optimization algorithms, namely shark algorithm (SA) and firefly algorithms (FFAs), were used to train the adap...
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| Main Authors: | , , |
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| Format: | Article |
| Published: |
Springer
2020
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| Subjects: | |
| Online Access: | http://eprints.um.edu.my/37586/ |
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| Institution: | Universiti Malaya |