YAPAY SİNİR AĞLARI METODU İLE YAĞIŞ TAHMİNİ

Authors : Özlem Terzi, Eda Çevik

Pages : 10-19

View : 12 | Download : 9

Publication Date : 2012-03-01

Article Type : Research Paper

Abstract :In this study, artificial neural network insert ignore into journalissuearticles values(ANN); models were developed as a new approach to estimate monthly total rainfall insert ignore into journalissuearticles values(RMT); for Isparta. Rainfall data from Senirkent, Uluborlu, Eğirdir, Yalvaç and Isparta stations in Isparta, operated by the Turkish State Meteorological Service were used to estimate RMT. The various models were developed to estimate RMT using ANN method. Also, multiple linear regression models were developed using the same input parameters for rainfall estimation. The results of ANN and multiple linear regression models were compared with measured rainfall values to evaluate performance of the developed models. The comparison showed that there was a good agreement between the ANN estimations and measured rainfall values
Keywords : Yağış, Yapay Sinir Ağları, Çoklu Lineer Regresyon, Isparta