Evaluation of Neural Network Streamflow Forecasting on 47 Watersheds
Author:
Affiliation:
1. Associate Professor, Dépt. de Génie Civil, Pavillon Adrien-Pouliot, Univ. Laval, Québec PQ, Canada G1K 7P4 (corresponding author).
2. Research Student, Cemagref, Water Quality and Hydrology Research Unit, P.B. 44, 92163 Antony Cedex, France.
Publisher
American Society of Civil Engineers (ASCE)
Subject
General Environmental Science,Water Science and Technology,Civil and Structural Engineering,Environmental Chemistry
Link
http://ascelibrary.org/doi/pdf/10.1061/%28ASCE%291084-0699%282005%2910%3A1%2885%29
Reference24 articles.
1. Artificial Neural Networks in Hydrology. I: Preliminary Concepts
2. Artificial Neural Networks in Hydrology. II: Hydrologic Applications
3. A soil moisture index as an auxiliary ANN input for stream flow forecasting
4. Impact of the length of observed records on the performance of ANN and of conceptual parsimonious rainfall-runoff forecasting models
5. A comparison between neural-network forecasting techniques-case study: river flow forecasting
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