An artificial neural networks approach to monthly flow estimation

Ilker A., Köse M., Ergin G., TERZİ Ö.

2011 International Symposium on INnovations in Intelligent SysTems and Applications, INISTA 2011, Istanbul-Kadikoy, Türkiye, 15 - 18 Haziran 2011, ss.325-328, (Tam Metin Bildiri) identifier

  • Yayın Türü: Bildiri / Tam Metin Bildiri
  • Doi Numarası: 10.1109/inista.2011.5946110
  • Basıldığı Şehir: Istanbul-Kadikoy
  • Basıldığı Ülke: Türkiye
  • Sayfa Sayıları: ss.325-328
  • Anahtar Kelimeler: artificial neural networks, estimation, flow, Kmhrmak
  • Isparta Uygulamalı Bilimler Üniversitesi Adresli: Hayır

Özet

In this study, flow estimation models has been developed with artificial neural networks (ANN) method which is one of the artificial intelligence techniques. The various ANN models are developed by using different input combinations consisting of flow data of Söǧütlühan (1535), Yamula (1501) and Bulakbaşi (1539) stations and compared with measured monthly flow. The coefficient of determination (R2) and root mean square error (RMSE) are used as performance criteria to compare results. According to these criteria, the model which has flow values in t-1 time of 1501, 1539 and 1535 stations, and in t time of 1501 and 1539 stations has the highest R2 of 0.98 and 0.97 for training and testing set, respectively. © 2011 IEEE.