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An approach for modeling daily flows during flood events using Artificial Neural Network (ANN) is presented. The rainfall-runoff process is modeled by coupling a simple linear (black box) model with the ANN. The study uses data from two large size catchments in India and five other catchments used earlier by the World Meteorological Organization (WMO) for inter-comparison of the operational hydrological...
In this paper, the radial basis function network (RBFN) is used to construct a rainfall-runoff model, and the fully supervised learning algorithm is presented for the parametric estimation of the network. The fully supervised learning algorithm has advantages over the hybrid-learning algorithm that is less convenient for setting up the number of hidden layer neurons. The number of hidden layer neurons...
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