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

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...

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Bibliographic Details
Main Authors: N. Harish, N. Lokesha, S. Mandal, Subba Rao, S.G. Patil
Format: Article
Language:English
Published: SAGE Publishing 2014-06-01
Series:International Journal of Ocean and Climate Systems
Online Access:https://doi.org/10.1260/1759-3131.5.2.79

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