Flow simulation using artificial neural networks is widely used in modeling, particularly in data-scarce areas. Our study utilized MLP neural networks to predict urban runoff in flood-prone basin. Motivated by the vulnerability to floods, we input rainfall and previous runoff data. The model effectively captured basin dynamics, highlighting the impact of urbanization. This research supports urban river basin planning and aids in flood mitigation and adaptation strategies.