Improved prediction of daily pan evaporation using Bayesian Model Averaging and optimized Kernel Extreme Machine models in different climates
Evaporation is one of the most important parameters of meteorological science. Therefore, predicting evaporation is necessary for both water resources and planning management. The present study uses Bayesian Model Averaging (BMA) based on developed and optimized Kernel Extreme Learning Machine (KELM...
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| Main Authors: | , , , |
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| Format: | Article |
| Published: |
Springer Verlag (Germany)
2022
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| Subjects: | |
| Online Access: | http://eprints.um.edu.my/40987/ |
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| Institution: | Universiti Malaya |