Please use this identifier to cite or link to this item: http://nopr.niscair.res.in/handle/123456789/52794
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dc.contributor.authorZhao, Kaixin-
dc.contributor.authorWang, Jichao-
dc.date.accessioned2019-12-30T04:57:39Z-
dc.date.available2019-12-30T04:57:39Z-
dc.date.issued2019-12-
dc.identifier.issn0975-1033 (Online); 0379-5136 (Print)-
dc.identifier.urihttp://nopr.niscair.res.in/handle/123456789/52794-
dc.description1957-1962en_US
dc.description.abstractPrediction of significant wave height (SWH) is considered an effective method in marine engineering and prevention of marine disasters. Support vector machine (SVM) model has limitations in processing nonlinear and non-stationary SWH time series. Fortunately, empirical mode decomposition (EMD) can effectively deal with the complicated series. So, the SWH prediction method based on EMD and SVM is proposed by combining the advantages of both methods. A statistical analysis was carried out to compare the results of two models i.e., between the hybrid EMD-SVM and SVM. In addition, two models are used for forecasting SWH with 3, 6, 12 and 24 hours lead times, respectively. A high R value of different prediction times for the hybrid model. Results indicate that SWH prediction of the hybrid EMD-SVM model is superior to the SVM model.en_US
dc.language.isoen_USen_US
dc.publisherNISCAIR-CSIR, Indiaen_US
dc.rights CC Attribution-Noncommercial-No Derivative Works 2.5 Indiaen_US
dc.sourceIJMS Vol.48(12) [December 2019]en_US
dc.subjectEMD-SVM modelen_US
dc.subjectEmpirical mode decompositionen_US
dc.subjectSignificant wave heighten_US
dc.subjectSupport vector machineen_US
dc.titleSignificant wave height forecasting based on the hybrid EMD-SVM methoden_US
dc.typeArticleen_US
Appears in Collections:IJMS Vol.48(12) [December 2019]

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