Research Information System
International Conference on Advanced Technologies (ICAT’22) E-, Van, Turkey, 25 - 27 November 2022, pp.1-5
Water resources are one of
the most basic needs of living life. In order to sustain human life without any
problems, a rational planning is required for the protection and use of
existing water resources. Therefore, river flow estimation is necessary to
provide basic information on a wide variety of problems associated with the
functioning of river systems. In this study, the daily flow values of Zamanti
River-Değirmenocağı, Zamanti River-Ergenuşağı and Eğlence River-Eğribük
stations in the Seyhan Basin in Turkey were investigated. Within the scope of
the study, the Adaptive Neuro-Fuzzy Inference System (ANFIS) model was trained
using Back Propagation (BP) and Hybrid Learning (HB) algorithms in order to
make forward flow rate estimation from past flow measurement values and the
results obtained from all models were compared. Mean Absolute Error (MAE), Root
Mean Square Error (RMSE), Determination Coefficient (R2) and Mean
Absolute Percentage Error (MAPE) evaluation criteria were used for comparison.
After the analysis, it was concluded that BP algorithm can be used more
successfully and effectively than HB algorithm