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 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 s...
Main Authors: | J. C. Ochoa-Rivera, R. García-Bartual, J. Andreu |
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Format: | Article |
Language: | English |
Published: |
Copernicus Publications
2002-01-01
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Series: | Hydrology and Earth System Sciences |
Online Access: | http://www.hydrol-earth-syst-sci.net/6/641/2002/hess-6-641-2002.pdf |
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