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...
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 |
Similar Items
-
Exploring hydrologic post-processing of ensemble streamflow forecasts based on affine kernel dressing and non-dominated sorting genetic algorithm II
by: J. Xu, et al.
Published: (2022-02-01) -
Clustering of heterogeneous precipitation fields for the assessment and possible improvement of lumped neural network models for streamflow forecasts
by: N. Lauzon, et al.
Published: (2006-01-01) -
Accounting for three sources of uncertainty in ensemble hydrological forecasting
by: A. Thiboult, et al.
Published: (2016-05-01) -
Comparison of Precipitation and Streamflow Correcting for Ensemble Streamflow Forecasts
by: Yilu Li, et al.
Published: (2018-02-01) -
A past discharge assimilation system for ensemble streamflow forecasts over France – Part 2: Impact on the ensemble streamflow forecasts
by: G. Thirel, et al.
Published: (2010-08-01)