Influence of bed deposit in the prediction of incipient sediment motion in sewers using artificial neural networks
This study investigates the performance of artificial neural networks in predicting the incipient sediment motion in sewers. Two neural network algorithms, i.e. feed forward neural network (FFNN) and radial basis function (RBF), were employed to estimate the critical velocity over varying sediment t...
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| Format: | Article |
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Taylor & Francis
2018
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