Ocean wave prediction using numerical and neural network models

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dc.contributor.author Mandal, S.
dc.contributor.author Prabaharan, N.
dc.date.accessioned 2010-01-27T12:28:59Z
dc.date.available 2010-01-27T12:28:59Z
dc.date.issued 2010
dc.identifier.citation The Open Ocean Engineering Journal, vol.3; 12-17
dc.identifier.other no
dc.identifier.uri http://drs.nio.org/drs/handle/2264/3537
dc.description.abstract This paper presents an overview of the development of the numerical wave prediction models and recently used neural networks for ocean wave hindcasting and forecasting. The numerical wave models express the physical concepts of the phenomena. The performance of the numerical wave model depends on how best the phenomena are expressed into the numerical schemes, so that more accurate wave parameters could be estimated. There are still scopes for improving the numerical wave models. When exact input-output parameters are known for the same phenomenon, it can be well defined by the neural network. Hindcasting of ocean wave parameters using neural networks shows its potential usefulness. It is observed that the short-term wave predictions using neural networks are very close to the actual ones. It is also observed that the neural network simplifies not only the complex phenomena, but also predicts fairly accurate wave parameters
dc.language.iso en
dc.publisher Bentham Open
dc.subject surface water waves
dc.subject wave predicting
dc.subject mathematical models
dc.subject neural network
dc.title Ocean wave prediction using numerical and neural network models
dc.type Journal Article


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