Water resource assessment involved various variables that can be simplified and tackled by developing a suitable mathematical model. Rainfall-Runoff (RR) modeling considered as a major hydrologic process and is essential for water resources management. This study presents the development of rainfall-runoff model based on artificial neural networks (ANNs) models in Shipra river basin of Madhya Pradesh. The ability of model was evaluated based on sum of squares error (SSE) and relative error. | Rainfall-runoff modelling using artificial neural networks (ANNs) model
