Extreme Learning Machines: A new approach for prediction of reference evapotranspiration
Arid regions; Atmospheric temperature; Evapotranspiration; Geographical regions; Knowledge acquisition; Mean square error; Meteorology; Neural networks; Wind; Arid and semi-arid regions; Coefficient of determination; Extreme learning machine; Feedforward backpropagation; Generalization performance;...
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| Main Authors: | , , , , |
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| Other Authors: | |
| Format: | Article |
| Published: |
Elsevier
2023
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| Institution: | Universiti Tenaga Nasional |
| Summary: | Arid regions; Atmospheric temperature; Evapotranspiration; Geographical regions; Knowledge acquisition; Mean square error; Meteorology; Neural networks; Wind; Arid and semi-arid regions; Coefficient of determination; Extreme learning machine; Feedforward backpropagation; Generalization performance; Meteorological condition; Penman-Monteith equations; Reference evapotranspiration; Learning systems; air temperature; algorithm; evapotranspiration; learning; meteorology; new record; Penman-Monteith equation; performance assessment; semiarid region; Basra; Iraq |
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