Bestami Taşar

COMPARATIVE EVALUATION OF MACHINE LEARNING-BASED MODELS FOR RAINFALL–RUNOFF PREDICTION

Accurate rainfall–runoff prediction is important in hydrological modeling. However, watershed processes are nonlinear and dynamic. This study examined the effect of different input configurations on daily streamflow prediction using data-driven methods. A total of 1,826 daily observations covering the period 01/01/2020...