Articles | Volume 18, issue 2
https://doi.org/10.5194/nhess-18-599-2018
https://doi.org/10.5194/nhess-18-599-2018
Research article
 | 
28 Feb 2018
Research article |  | 28 Feb 2018

The use of genetic programming to develop a predictor of swash excursion on sandy beaches

Marinella Passarella, Evan B. Goldstein, Sandro De Muro, and Giovanni Coco

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Cited articles

Abolfathi, S., Yeganeh-Bakhtiary, A., Hamze-Ziabari, S. M., and Borzooei, S.: Wave runup prediction using M5′ model tree algorithm, Ocean Eng., 112, 76–81, 2016.
Bakhtyar, R., Bakhtiary, A. Y., and Ghaheri, A.: Application of neuro-fuzzy approach in prediction of runup in swash zone, Appl. Ocean Res., 30, 17–27, 2008.
Bosom, E. and Jiménez, J. A.: Probabilistic coastal vulnerability assessment to storms at regional scale – application to Catalan beaches (NW Mediterranean), Nat. Hazards Earth Syst. Sci., 11, 475–484, https://doi.org/10.5194/nhess-11-475-2011, 2011.
Bonakdar, L. and Etemad-Shahidi, A.: Predicting wave run-up on rubble-mound structures using M5 model tree, Ocean Eng., 38, 111–118, https://doi.org/10.1016/j.oceaneng.2010.09.015, 2011.
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