Improved prediction of daily pan evaporation using Bayesian Model Averaging and optimized Kernel Extreme Machine models in different climates

• Main Authors: Ehteram, Mohammad, Graf, Renata, Ahmed, Ali Najah, El-Shafie, Ahmed
• Format: Article
• Published: Springer Verlag (Germany) 2022
• Subjects: TA Engineering (General). Civil engineering (General)
• Online Access: http://eprints.um.edu.my/40987/
• Institution: Universiti Malaya

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...