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dc.contributor.authorMandal, S.
dc.contributor.authorPatil, S.G.
dc.contributor.authorHegde, A.V.
dc.date.accessioned2010-05-11T10:05:25Z
dc.date.available2010-05-11T10:05:25Z
dc.date.issued2009
dc.identifier.citationProceedings of third International Conference in Ocean Engineering. ICOE-2009. eds. by: Subramanian, V.A.; Nallayarasu, S.; Sannasiraj, S.A., IIT; Madras; India; 574-585
dc.identifier.urihttp://drs.nio.org/drs/handle/2264/3610
dc.description.abstractIn the present study, an artificial neural network method has been applied for wave transmission prediction of multilayer floating breakwater. Two neural network models are constructed based on the parameters which influence the wave transmission of floating breakwater. Training and testing of the network models are carried out for different hidden nodes and epochs. The results of network models are compared with the measured values. It is observed that the correlation (above 90%) between predicted wave transmission values by the network models and measured values are in good agreement.
dc.language.isoen
dc.publisherIIT; Madras
dc.rightsCopyright [2009]. All efforts have been made to respect the copyright to the best of our knowledge. Inadvertent omissions, if brought to our notice, stand for correction and withdrawal of document from this repository.
dc.subjectWave transmission
dc.subjectneural network
dc.subjectfloating breakwater
dc.titleWave transmission prediction of multilayer floating breakwater using neural network
dc.typeConference Article


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