An experiment on the evolution of an ensemble of neural networks for streamflow forecasting

We present an experiment on fifty multilayer perceptrons trained for streamflow forecasting on three watersheds using bootstrapped input series. This type of neural network is common in hydrology and using multiple training repetitions (ensembling) is a popular practice: the information issued by...

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Bibliographic Details
Main Authors: M.-A. Boucher, J.-P. Laliberté, F. Anctil
Format: Article
Language:English
Published: Copernicus Publications 2010-03-01
Series:Hydrology and Earth System Sciences
Online Access:http://www.hydrol-earth-syst-sci.net/14/603/2010/hess-14-603-2010.pdf