Bu çaly?mada, Tahtaköprü barajyndaki aylyk buharla?ma miktarynyn tahmini, Yapay Sinir A?lary (YSA) metodu kullanylarak ara?tyrylmy?tyr. Bu sonuçlara göre; baraj haznesi aylyk buharla?ma miktarynyn tahmininde YSA model çözüm sonuçlary, geçmi?te kullanylan klasik yöntemlerle kyyaslandy?ynda daha iyi bir yakla?ym vermi?tir.

In this study the estimation of the amount of the monthly evaporation is investigated by the method of Articifial Neural Networks (ANN). According to these results; the analytical results of ANN model have given a better approach as compared to the classical methods that are used in the past on the amount of the monthly evaporation of the dam's reservoir.