A Comparative Study of Various Hybrid Wavelet Feedforward Neural Network Models for Runoff Forecasting
Author:
Publisher
Springer Science and Business Media LLC
Subject
Water Science and Technology,Civil and Structural Engineering
Link
http://link.springer.com/article/10.1007/s11269-017-1796-1/fulltext.html
Reference53 articles.
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2. Abrahart RJ et al (2012) Two decades of anarchy? Emerging themes and outstanding challenges for neural network river forecasting. Prog Phys Geogr 36(4):480–513
3. 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(1–2):85–91. https://doi.org/10.1016/j.jhydrol.2010.06.033
4. Addison PS (2002) The illustrated wavelet transform handbook. Institute of Physics Publishing, London
5. Anctil F, Tape DG (2004) An exploration of artificial neural network rainfall-runoff forecasting combined with wavelet decomposition. J Environ Eng Sci 3(S1):S121–S128. https://doi.org/10.1139/s03-071
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