Articles | Volume 6, issue 4
https://doi.org/10.5194/hess-6-619-2002
© Author(s) 2002. This work is licensed under
the Creative Commons Attribution-NonCommercial-ShareAlike 2.5 License.
the Creative Commons Attribution-NonCommercial-ShareAlike 2.5 License.
https://doi.org/10.5194/hess-6-619-2002
© Author(s) 2002. This work is licensed under
the Creative Commons Attribution-NonCommercial-ShareAlike 2.5 License.
the Creative Commons Attribution-NonCommercial-ShareAlike 2.5 License.
Evaluation of artificial neural network techniques for flow forecasting in the River Yangtze, China
C. W. Dawson
Email for corresponding author: c.w.dawson1@lboro.ac.uk
Department of Computer Science, Loughborough University, Leicestershire, LE11 3TU, UK
Email for corresponding author: c.w.dawson1@lboro.ac.uk
C. Harpham
School of Computing and Technology, University of Derby, Kedleston Road, Derby, DE22 1GB, UK
Email for corresponding author: c.w.dawson1@lboro.ac.uk
R. L. Wilby
Department of Geography, King’s College London, Strand, London, WC2R 2LS, UK
Email for corresponding author: c.w.dawson1@lboro.ac.uk
Y. Chen
Institute of Hydrology and Water Resources, Three Gorges University, Yichang, Hubei, China
Email for corresponding author: c.w.dawson1@lboro.ac.uk
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