Ensemble Streamflow Forecast: A GLUE-Based Neural Network Approach-Reference-Cited by-同舟云学术

Ensemble Streamflow Forecast: A GLUE-Based Neural Network Approach

Published:2009-10 Issue:5 Volume:45 Page:1155-1163
ISSN:1093-474X
Container-title:JAWRA Journal of the American Water Resources Association
language:en
Short-container-title:

Author:

Asefa Tirusew

Publisher

Wiley

Subject

Earth-Surface Processes,Water Science and Technology,Ecology

Link

http://onlinelibrary.wiley.com/wol1/doi/10.1111/j.1752-1688.2009.00351.x/fullpdf

Reference19 articles.

1. Neural Network Uncertainty Assessment Using Bayesian Statistics With Application to Remote Sensing: 1. Network Weights;Aires;Journal of Geophysical Research,2004

2. Neural Network Uncertainty Assessment Using Bayesian Statistics With Application to Remote Sensing: 2. Output Errors;Aires;Journal of Geophysical Research,2004

3. Artificial Neural Networks in Hydrology. I: Preliminary Concepts;ASCE;ASCE Journal of Hydrologic Engineering,2000

4. Artificial Neural Networks in Hydrology. II: Hydrologic Applications;ASCE;ASCE Journal of Hydrologic Engineering,2000

5. Field-Scale Application of Three Types of Neural Networks to Predict Ground-Water Levels;Asefa;Journal of the American Water Resources Association,2007

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2. Impact of Distribution Type in Bayes Probability Flood Forecasting;Water Resources Management;2017-01-21

3. Methods used for quantifying the prediction uncertainty of artificial neural network based hydrologic models;Stochastic Environmental Research and Risk Assessment;2016-12-08

4. Closure to “One-Day-Ahead Streamflow Forecasting Using Artificial Neural Networks and a Meteorological Mesoscale Model” by Alvaro Linares-Rodriguez, Vicente Lara-Fanego, David Pozo-Vazquez, and Joaquin Tovar-Pescador;Journal of Hydrologic Engineering;2016-01

5. The Application of the Artificial Neural Network Ensemble Model for Simulating Streamflow;Procedia Engineering;2016