Bed load transport, has been extensively studied in the past few decades and many equations have been

developed, but they differ from each other in derivation and form. As the process is extremely complex,

obtaining a deterministic or analytical form of it is too difficult. Neural network modeling, which is

particularly useful in modeling processes about which knowledge of the physics is limited, is presented here

as a complimentary tool for modeling bed load transport. The developed model demonstrated a superior

performance based on different statistical criteria. The significance of the different input parameters has been

analyzed in the present work to understand the influence of these parameters on the transport process.