Particle Swarm Optimization based support vector machine for damage level prediction of non-reshaped berm breakwater
Particle Swarm Optimization (PSO) is used to optimize the support vector machine (SVM). Models are trained on the data set obtained from experimental data. PSOSVM with polynomial kernel function performs better than other kernel functions. Different soft computing models results are compared. PSOSVM is computationally efficient as compared to ANFIS.
damage level non-reshaped berm breakwater svm psosvm