Parameter Optimization Using GA in SVM to Predict Damage Level of Non-Reshaped Berm Breakwater
In the present study, Support Vector Machines (SVM) and hybrid of Genetic Algorithm (GA) with SVM models are developed to predict the damage level of non-reshaped berm breakwaters. Optimal kernel parameters of SVM are determined by using GA algorithm. The models are trained and tested on the data se...
| Main Authors: | , , , , |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
SAGE Publishing
2014-06-01
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| Series: | International Journal of Ocean and Climate Systems |
| Online Access: | https://doi.org/10.1260/1759-3131.5.2.79 |