Yarar A.2020-03-262020-03-2620189.78154E+12https://dx.doi.org/10.1109/ICACCE.2018.8441753https://hdl.handle.net/20.500.12395/372252018 International Conference on Advances in Computing and Communication Engineering, ICACCE 2018 -- 22 June 2018 through 23 June 2018 -- 138934Artificial Neural Network (ANN) model's performance was investigated on evaporation estimation at GÕolbasI region. For this aim monthly mean temperature, monthly total rainfall and monthly mean evaporation data of Golbaöl were used. 213 data set were used for the modeling. 150 of all data set were selected for training and other 63 data set were selected for testing. The performance of the ANN model was evaluated according to the graphs and R2 value. It was seen that the coefficient of determination, between measured and estimation, is around 0.89. This modeling study showed that ANN is usable method in estimation of evaporation at Golbasl. © 2018 IEEE.en10.1109/ICACCE.2018.8441753info:eu-repo/semantics/closedAccessArtificial Neural NetworksGÖlbasPan EvaporationConference Object810N/A