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This document discusses a study that comprehensively evaluated six machine learning models for predicting suspended sediment load inflow into a reservoir. The models - artificial neural network, adaptive neuro-fuzzy inference system, radial basis function neural network, support vector machine, genetic programming, and deep learning - were applied to develop predictive models using streamflow, water temperature, water stage, and reservoir outflow data from Sangju Weir in South Korea. The artificial neural n

Author

osman turan

Language

EN