Application of Gaussian Process Regression Model to Predict Discharge Coefficient of Gated Piano Key Weir
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/s11269-019-02343-3.pdf
Reference39 articles.
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3. Bilhan O, Emiroglu ME, Kisi O (2011) Use of artificial neural networks for prediction of discharge coefficient of triangular labyrinth side weir in curved channels. Adv Eng Softw 42:208–214. https://doi.org/10.1016/j.advengsoft.2011.02.006
4. Burges CJC (1998) A tutorial on support vector machines for pattern recognition. Data Min Knowl Disc 2:121–167. https://doi.org/10.1023/a:1009715923555
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