Long Term Streamflow Forecasting Using a Hybrid Entropy Model-Reference-Cited by-同舟云学术

Long Term Streamflow Forecasting Using a Hybrid Entropy Model

Published:2018-01-15 Issue:4 Volume:32 Page:1439-1451
ISSN:0920-4741
Container-title:Water Resources Management
language:en
Short-container-title:Water Resour Manage

Author:

Dariane A. B.,Farhani M.,Azimi Sh

Publisher

Springer Science and Business Media LLC

Subject

Water Science and Technology,Civil and Structural Engineering

Link

http://link.springer.com/article/10.1007/s11269-017-1878-0/fulltext.html

Reference42 articles.

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2. Adamowski J, Sun K (2010) Development of a coupled wavelet transform and neural network method for flow forecasting of non-perennial rivers in semi-arid watersheds. J Hydrol 390:85–91. https://doi.org/10.1016/j.jhydrol.2010.06.033

3. Anctil F, Tape DG (2004) An exploration of artificial neural network rainfall-runoff forecasting combined with wavelet decomposition. J Environ Eng and Sci 3(Supplement 1):S121–S128. https://doi.org/10.1139/s03-071

4. Arifovic J, Gencay R (2001) Using genetic algorithms to select architecture of a feedforward artificial neural network Physica. A: Statistical Mechanics and its Applications 289:574–594

5. Burg JP (1967) Maximum entropy spectral analysis. 37th annual international meeting

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