Performance of Neural Networks in Daily Streamflow Forecasting-Reference-Cited by-同舟云学术

Performance of Neural Networks in Daily Streamflow Forecasting

Published:2002-09 Issue:5 Volume:7 Page:392-398
ISSN:1084-0699
Container-title:Journal of Hydrologic Engineering
language:en
Short-container-title:J. Hydrol. Eng.

Author:

Birikundavyi S.¹,Labib R.²,Trung H. T.³,Rousselle J.⁴

Affiliation:

1. Research Associate, Département des génies civil, géologique et des mines, École Polytechnique de Montréal, C.P. 6079, succ. Centre-ville, Montréal PQ, Canada H3C 3A7.

2. Département de mathématiques et de génie industriel, École Polytechnique, C.P. 6079, succ. Centre-Ville, Montréal PQ, Canada H3C 3A7.

3. Énergie Électrique PQ, Société d’électrolyse et de chimie Alcan, 1954, C.P. 1800, Jonquière PQ, Canada G7S 4R5.

4. Professor, Département des génies civil, géologique et des mines, École Polytechnique de Montréal, C.P. 6079, succ. Centre-ville, Montréal PQ, Canada H3C 3A7.

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%282002%297%3A5%28392%29

Reference28 articles.

1. Predicting conductivity and acidity for small streams using neural network.;Bastarache D.;Can. J. Civ. Eng.,1997

2. Birikundavyi S. and Rousselle J. (1997). “Prévision journalière par un modèle neuronal des apports naturels aux réservoirs Chute du Diable et Lac-St-Jean et des débits de la rivière Mistassibi—Analyse exploratoire et comparaison avec le modèle PREVIS.” Rapport École Polytechnique de Montréal (in French).

3. Bouchard S. and Salesse L. (1986). “Amélioration et structuration du système de prévision hydrologique à court terme PRÉVIS.” Rapport Interne RH-86-01 Groupe ressources hydrauliques ÉÉQ SÉCAL Jonquière Québec Canada (in French).

4. Brebis G. and Georgiopoulos M. (1995). “Improving generalization by using genetic algorithms to determine the neural network size.” Southcon/95 Conf. Record 392–397.

5. Using neural networks to assess the influence of changing seasonal climates in modifying discharge, dissolved organic carbon, and nitrogen export in eastern Canadian rivers

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