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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
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 | ||||||||
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| Subjects: | T Technology > TA Engineering (General). Civil engineering (General) T Technology > TC Hydraulic engineering. Ocean engineering |
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| Divisions: | Faculty of Science, Engineering and Medicine > Engineering > Engineering | ||||||||
| Journal or Publication Title: | Ocean Engineering | ||||||||
| Publisher: | Elsevier | ||||||||
| Official Date: | 15 January 2016 | ||||||||
| Dates: |
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| 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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