Multivariate Reservoir Inflow Forecasting Using Temporal Neural Networks-Reference-Cited by-同舟云学术

Multivariate Reservoir Inflow Forecasting Using Temporal Neural Networks

Published:2001-10 Issue:5 Volume:6 Page:367-376
ISSN:1084-0699
Container-title:Journal of Hydrologic Engineering
language:en
Short-container-title:J. Hydrol. Eng.

Author:

Coulibaly Paulin¹²³⁴,Anctil François¹²³⁴,Bobée Bernard¹²³⁴

Affiliation:

1. Member, ASCE

2. Res. Assoc., NSERC/Hydro-Québec Chair in Statistical Hydro., Institut National de la Recherche Scientifique (INRS-Eau), Sainte-Foy, PQ, Canada G1V 4C7; formerly, Dept. of Civ. Engrg., Université Laval, Sainte-Foy, PQ, Canada G1K 7P4.

3. Assoc. Prof., Dept. of Civ. Engrg., Centre de Recherche Géomatique, Université Laval, Sainte-Foy, PQ, Canada G1K 7P4.

4. Chair., NSERC/Hydro-Québec Chair in Statistical Hydro., Institut National de la Recherche Scientifique (INRS-Eau), Sainte-Foy, PQ, Canada G1V 4C7.

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%282001%296%3A5%28367%29

Reference42 articles.

1. Comparison of ANNs and Empirical Approaches for Predicting Watershed Runoff

2. ASCE Task Committee on Application of Artificial Neural Networks in Hydrology. ( 2000). “Artificial neural networks in hydrology. Parts I and II." J. Hydrologic Engrg. ASCE 5(2) 115–137.

3. Campolo M. Andreussi P. and Soldati A. ( 1999). “River flood forecasting with neural network model.” Water Resour. Res. 35(4) 1191–1197.

4. Chow T. W. S. and Cho S. Y. ( 1997). “Development of recurrent sigma-pi neural network rainfall forecasting system in Hong Kong.” Neural Computing and Applications 5(2) 66–75.

5. Clair T. A. and Ehrman J. M. ( 1998). “Using neural networks to assess the influence of changing seasonal climates in modifying discharge dissolved organic carbon and nitrogen export in eastern Canadian rivers.” Water Resour. Res. 34(3) 447–455.

Cited by 153 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Transformer Versus LSTM: A Comparison of Deep Learning Models for Karst Spring Discharge Forecasting;Water Resources Research;2024-04

2. Comparison of soft-computing techniques: Data-driven models for flood forecasting;AIMS Environmental Science;2024

3. Output updating of a physically based model for gauged and ungauged sites of the Upper Thames River watershed;Journal of Hydrology and Hydromechanics;2023-08-10

4. Assessing the effect of climate and land use changes on the hydrologic regimes in the upstream of Tajan river basin using SWAT model;Applied Water Science;2023-05-12

5. Trap efficiency of reservoirs;Water, Land, and Forest Susceptibility and Sustainability;2023