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dc.contributor.authorMandal, S.
dc.contributor.authorRao, S.
dc.contributor.authorRaju, D.H.
dc.date.accessioned2008-07-02T05:02:01Z
dc.date.available2008-07-02T05:02:01Z
dc.date.issued2004
dc.identifier.citationThird Indian National Conference on Harbour and Ocean Engineering (INCHOE - 2004). Proceedings, eds. Mandal, S.; SanilKumar, V.; JayaKumar, S.Vol.2; 762-769p.
dc.identifier.urihttp://drs.nio.org/drs/handle/2264/1143
dc.description.abstractOcean wave parameters play a significant role in the design of all coastal and offshore structures. In the present study, neural networks are used to estimate various ocean wave parameters from theoretical Pierson-Moskowitz spectra as well as measured ocean wave spectra off Mormugao, west coast of India. The correlations of neural network and Scott spectra are also compared. Once the network is trained, the ocean wave parameters can be estimated for unknown measured spectra, whereas significant wave height and spectral peak period are required to generate the Scott spectra. This study shows that the missing field wave data can be generated using trained network.
dc.language.isoen
dc.publisherNational Institute of Oceanography, India
dc.rightsCopyright [2004]. It is tried to respect the rights of the copyright holders to the best of the knowledge. If it is brought to our notice that the rights are violated then the item would be withdrawn.
dc.subjectSurface water waves
dc.subjectOffshore structures
dc.subjectCoastal structures
dc.subjectWave predicting
dc.subjectCorrelation analysis
dc.subjectWave data
dc.titleNeural networks for estimation of ocean wave parameters
dc.typeConference Article


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