Show simple item record

dc.contributor.authorMandal, S.
dc.contributor.authorPrabaharan, N.
dc.date.accessioned2010-01-27T12:28:59Z
dc.date.available2010-01-27T12:28:59Z
dc.date.issued2010
dc.identifier.citationThe Open Ocean Engineering Journal, vol.3; 12-17
dc.identifier.otherno
dc.identifier.urihttp://drs.nio.org/drs/handle/2264/3537
dc.description.abstractThis 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.isoen
dc.publisherBentham Open
dc.subjectsurface water waves
dc.subjectwave predicting
dc.subjectmathematical models
dc.subjectneural network
dc.titleOcean wave prediction using numerical and neural network models
dc.typeJournal Article


Files in this item

Thumbnail

This item appears in the following Collection(s)

Show simple item record