Stability number prediction for breakwater armor blocks using Support Vector Regression

Abstract

This paper presents the Support Vector Regression (SVR) to predict the stability number of armor blocks of breakwaters. The experimental data of van der Meer are used as the training and test data for the SVR in this study. Estimated results of SVR are compared with those of the empirical formula and a previous Artificial Neural Network (ANN) model. The comparison of results shows the efficiency of the proposed method in the prediction of the stability numbers. The proposed method proves to be an effective tool for designers of rubble mound breakwaters to support their decision process and to improve design efficiency.

Least Squares Support Vector Mechanics to Predict the Stability Number of Rubble-Mound Breakwaters

“…SVM methods have been exported to various fields of water engineering, such as hydrology and coastal researches, and significant inferences have been put forward [12][13][14][15][16]. An exemplary application of SVM is presented by Kim et al [17] under the estimation of stability numbers of rubble-mound breakwaters. From their work, predictions derived from support vector regression (SVR) have been compared with those of the empirical equation and ANN.…”

Parameter Optimization Using GA in SVM to Predict Damage Level of Non-Reshaped Berm Breakwater

“…Their result shows that the SVM can be successfully used for the prediction of significant wave height. Kim et al (2010) used SVM to predict the stability number of armour blocks of breakwaters. The proposed method proves to be an effective tool for designers to support their decision process and to improve design efficiency of rubble mound breakwaters.…”

Damage level prediction of non-reshaped berm breakwater using ANN, SVM and ANFIS models

“…Their results show that the SVM can be successfully used for the prediction of significant wave height (H s ). Kim, et al (2010) used Support Vector Regression to predict the stability number of armor blocks of breakwaters. The proposed method proves to be an effective tool for designers of rubble mound breakwaters to support their decision process and to improve design efficiency.…”