Modeling of Sediment Yield Prediction Using M5 Model Tree Algorithm and Wavelet Regression
Author:
Publisher
Springer Science and Business Media LLC
Subject
Water Science and Technology,Civil and Structural Engineering
Link
http://link.springer.com/content/pdf/10.1007/s11269-014-0590-6.pdf
Reference61 articles.
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3. Antonios A, Constantine EV (2003) Wavelet exploratory analysis of the FTSE ALL SHARE Index. In proceedings of the 2nd WSEAS international conference on non-linear analysis. Non-linear systems and Chaos, Athens
4. Ayteek A, Kisi Ö (2008) A genetic programming approach to suspended sediment modeling. J Hydrol 351:288–298
5. Bhattacharya B, Solomatine DP (2005) Neural networks and M5 model trees in modelling water level–discharge relationship. Neurocomputing 63:381–396
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