Evaporation is one of the important parameters of hydrolojical cycle. Evaporation is used for many studies. such as water balange. planning and management of irrigation practices. In order to estimate of evaporation is used various approachs. Instudy Artifical Neural Network (ANN) and Adaptive Neuro- Fuzzy İnference System (ANFIS) is employed to estimate daily evaporation using different climatic parameters. For these methods are trained and tested using the data of three weather stations (Samsun, Bafra and Çarşamba). Mean temperature, relative humidity, global radiation, wind speed are used to estimate different conbination for these models. Different statistic parameters such as coffecient of determination (R2), root mean square error (RMSE), mean absolute error (MAE) are used to evaluate performance of the methods. The results showed that ANN and ANFİS methods are useful tools to estimate of evaporation especially when the limited climate parameters are used.