Özet :

Boiling plays an important role in the efficient and efficient management of water resources as one of the main components of the hydraulic environment. Although the empirical methods suggested in literature for prediction of steam are available, the performance is not satisfying due to the complex structure of the steam process and the availability of data to be used in the empirical formulas. Therefore, in this study, the dust evaporation values in Sanlıurfa and Diyarbakır stations were predicted using only average temperature values with the artificial nerve networks (YSA), the adjusted network-based bully logic output system (ANFIS) and gene expression programming (GEP) methods. All the methods used in the prediction of steam has been shown to give successful results despite limited data, and the GEP method has been shown to give much better results. The study has presented the formula obtained by the GEP method to estimate the monthly evaporation values for the stations addressed.

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