Mohammad Zounemat-Kermani

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In the present study, artificial neural networks (ANNs), neuro-fuzzy (NF), multi linear regression (MLR) and conventional sediment rating curve (SRC) models are considered for time series modeling of suspended sediment concentration (SSC) in rivers. As for the artificial intelligence systems, feed forward back propagation (FFBP) method and Sugeno inference(More)
An accurate prediction of maximum scour depth around bridge foundations is necessary for their safe design. Bridge foundations on deep alluvial riverbeds are commonly constructed on group of piles. Generally, this is considered a safe way to avoid any scouring problems. However, scour prediction is still necessary for this kind of foundation. Piles may or(More)
An adaptive neuro-fuzzy inference system (ANFIS) was developed using the subtractive clustering technique to study the air demand in low-level outlet works. The ANFIS model was employed to calculate vent air discharge in different gate openings for an embankment dam. A hybrid learning algorithm obtained from combining back-propagation and least square(More)
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