Hydrological Time Series Forecasting Using Three Different Heuristic Regression Techniques

KİŞİ, Özgür | SHIRI, Jalal | DEMİR, Vahdettin

The ability of three different heuristic regression methods, least-square support vector regression (LSSVR), multivariate adaptive regression spline (MARS), and M5 model tree (M5Tree), was investigated in forecasting hydrological time series. In the study, daily streamflow data from two stations in Turkey were used by employing cross validation method. Models were compared with each other with respect to root-mean-square error, mean absolute error and determination coefficient. The LSSVR was found to be superior to the MARS and M5Tree models in daily streamflow forecasting. The effect of perio ...Daha fazlası