This paper evaluates the performance of three soft computing techiques, namely Genetic Expression Programming (GEP), Radial Basis Function Neural Networks (RBFNNs), and Adaptive Neuro-Fuzzy System (ANFIS), in predicting scour downstream of a flip spillway. The results are promising, which support the use of these intelligent techniques in predicting highly non-linear scour hole geometry.