Appraisal of soft computing techniques in the prediction of spillway scour depth

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.

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