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Wave runup prediction using M5′ model tree algorithm

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Abolfathi, Soroush (2016) Wave runup prediction using M5′ model tree algorithm. Ocean Engineering , 112 . pp. 76-81. doi:10.1016/j.oceaneng.2015.12.016

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Official URL: https://doi.org/10.1016/j.oceaneng.2015.12.016

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Abstract

In recent years, soft computing schemes have received increasing attention for solving coastal engineering problems and knowledge extraction from the existing data. In this paper, capabilities of M5′ Decision Tree algorithm are implemented for predicting the wave runup using existing laboratory data. The decision models were established using the surf similarity parameter (ξ), slope angle (cot α), beach permeability factor (Sp), relative wave height (H/h), wave spectrum (Ss) and wave momentum flux (m). 451 laboratory data of the wave runup were utilized for developing wave runup prediction models. The performance of developed models is evaluated with statistical measures. The results demonstrate the strength of M5′ model tree algorithm in predicting the wave runup with high precision. Good agreement exists between the proposed runup formulae and existing empirical relations.

Item Type: Journal Article
Subjects: T Technology > TA Engineering (General). Civil engineering (General)
T Technology > TC Hydraulic engineering. Ocean engineering
Divisions: Faculty of Science, Engineering and Medicine > Engineering > Engineering
Journal or Publication Title: Ocean Engineering
Publisher: Elsevier
Official Date: 15 January 2016
Dates:
DateEvent
15 January 2016Published
22 December 2015Available
8 December 2015Accepted
Volume: 112
Page Range: pp. 76-81
DOI: 10.1016/j.oceaneng.2015.12.016
Status: Peer Reviewed
Publication Status: Published
Access rights to Published version: Restricted or Subscription Access
Date of first compliant deposit: 4 May 2019

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