THE ESTIMATION OF THE AMOUNT OF THE MONTHLY VAPORATION AT THE DAM OF TAHTAKÖPRÜ WITH THE APPROACH OF THE ARTIFICIAL NEURAL NETWORKS

Year 2011, Volume: 6 Issue: 1, 114 - 125, 01.02.2011

Fatih Üneş HAKAN Varçin Kazım Kadir Dindar

https://izlik.org/JA37LG23KB

Abstract

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.

Keywords

Artificial Neural Network (ANN) , Dam reservoir , Evaporation , Multi-linear regression , Autoregressive models (AR(p) ,

YAPAY SYNYR A?LARI YAKLA?IMI YLE TAHTAKÖPRÜ BARAJINDAKY AYLIK BUHARLA?MA TAHMYNY

https://izlik.org/JA37LG23KB

Abstract

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.

Keywords

Yapay Sinir A?lary (YSA) , Baraj haznesi , Buharla?ma , Çoklu-Lineer Regresyon (MLR) , Otoregresif Model (AR(p) ,