PREDICTION OF TRANSMITTED WAVE HEIGHT OF TANDEM BREAKWATER USING PSO-SVM
Economic development of a country is directly dependent on the functioning of the ports and transportation facilities available. It is of vital importance to protect the ports and harbors and thereby providing safe and effective loading and unloading facilities. Proper protective measures like break...
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doaj-5595fff8d3bf459ea2c0a476cebb52742020-11-25T00:45:36ZengICT Academy of Tamil NaduICTACT Journal on Communication Technology0976-65612229-69482017-10-01811544154810.21917/ijsc.2017.0215PREDICTION OF TRANSMITTED WAVE HEIGHT OF TANDEM BREAKWATER USING PSO-SVMKarthick S0Subba Rao1National Institute of Technology, Karnataka, IndiaNational Institute of Technology, Karnataka, IndiaEconomic development of a country is directly dependent on the functioning of the ports and transportation facilities available. It is of vital importance to protect the ports and harbors and thereby providing safe and effective loading and unloading facilities. Proper protective measures like breakwaters have to be constructed to protect and maintain tranquility conditions inside the harbor. Apart from conventional rubble mound breakwater, newly developed hybrid type breakwaters are also used as protective structures. Final layout of the structure is determined only after prior physical model studies. Soft computing techniques, widely used in the field of prediction, are recently used in the field of breakwater studies for the prediction of transmitted wave height, damage analysis etc. Present work deals with the transmitted wave height prediction of a tandem breakwater using hybrid PSO-SVM model. Effectiveness of the models developed were measured using various statistical parameters such as RMSE, MAE, CC and SI. Results showed that, from among various kernels used, model developed with polynomial kernel showed better correlation.http://ictactjournals.in/ArticleDetails.aspx?id=3184Tandem BreakwaterPSO-SVMPolynomial KernelSoft Computing |
collection |
DOAJ |
language |
English |
format |
Article |
sources |
DOAJ |
author |
Karthick S Subba Rao |
spellingShingle |
Karthick S Subba Rao PREDICTION OF TRANSMITTED WAVE HEIGHT OF TANDEM BREAKWATER USING PSO-SVM ICTACT Journal on Communication Technology Tandem Breakwater PSO-SVM Polynomial Kernel Soft Computing |
author_facet |
Karthick S Subba Rao |
author_sort |
Karthick S |
title |
PREDICTION OF TRANSMITTED WAVE HEIGHT OF TANDEM BREAKWATER USING PSO-SVM |
title_short |
PREDICTION OF TRANSMITTED WAVE HEIGHT OF TANDEM BREAKWATER USING PSO-SVM |
title_full |
PREDICTION OF TRANSMITTED WAVE HEIGHT OF TANDEM BREAKWATER USING PSO-SVM |
title_fullStr |
PREDICTION OF TRANSMITTED WAVE HEIGHT OF TANDEM BREAKWATER USING PSO-SVM |
title_full_unstemmed |
PREDICTION OF TRANSMITTED WAVE HEIGHT OF TANDEM BREAKWATER USING PSO-SVM |
title_sort |
prediction of transmitted wave height of tandem breakwater using pso-svm |
publisher |
ICT Academy of Tamil Nadu |
series |
ICTACT Journal on Communication Technology |
issn |
0976-6561 2229-6948 |
publishDate |
2017-10-01 |
description |
Economic development of a country is directly dependent on the functioning of the ports and transportation facilities available. It is of vital importance to protect the ports and harbors and thereby providing safe and effective loading and unloading facilities. Proper protective measures like breakwaters have to be constructed to protect and maintain tranquility conditions inside the harbor. Apart from conventional rubble mound breakwater, newly developed hybrid type breakwaters are also used as protective structures. Final layout of the structure is determined only after prior physical model studies. Soft computing techniques, widely used in the field of prediction, are recently used in the field of breakwater studies for the prediction of transmitted wave height, damage analysis etc. Present work deals with the transmitted wave height prediction of a tandem breakwater using hybrid PSO-SVM model. Effectiveness of the models developed were measured using various statistical parameters such as RMSE, MAE, CC and SI. Results showed that, from among various kernels used, model developed with polynomial kernel showed better correlation. |
topic |
Tandem Breakwater PSO-SVM Polynomial Kernel Soft Computing |
url |
http://ictactjournals.in/ArticleDetails.aspx?id=3184 |
work_keys_str_mv |
AT karthicks predictionoftransmittedwaveheightoftandembreakwaterusingpsosvm AT subbarao predictionoftransmittedwaveheightoftandembreakwaterusingpsosvm |
_version_ |
1725269187054534656 |