Multivariate synthetic streamflow generation using a hybrid model based on artificial neural networks
A model for multivariate streamflow generation is presented, based on a multilayer feedforward neural network.The gildan midnight structure of the model results from two components, the neural network (NN) deterministic component and a random component which is assumed to be normally distributed.It is from this second component that the model achie