Show simple item record

dc.contributor.authorMakarynskyy, Oleg
dc.contributor.authorMakarynska, D.
dc.contributor.authorKuhn, Michael
dc.contributor.authorFeatherstone, Will
dc.date.accessioned2017-01-30T12:59:12Z
dc.date.available2017-01-30T12:59:12Z
dc.date.created2008-11-12T23:21:07Z
dc.date.issued2005
dc.identifier.citationMakarynskyy, O and Makarynska, D and Kuhn, M and Featherstone, W E. 2005. Using Artificial Neural Networks to estimate sea level in continental and island coastal environments. In Cheng, L and Yeow, K (ed), Hydrodynamics IV: Theory and Applications, 451-457. London: Taylor & Francis Group.
dc.identifier.urihttp://hdl.handle.net/20.500.11937/27462
dc.description.abstract

The knowledge of sea level variations is of great importance in geoenvironmental and ocean-engineering applications. Estimations of sea level change with different warning times are of vital importance for the population of low-lying regions and islands. This contribution describes some recent advances in the application of a meshless artificial intelligence technique (neural networks) to the tasks of sea level retrieval and forecast. This technique was employed because it has been proven to approximate the non-linear behaviour in a geophysical system. The data used were taken from several SEAFRAME stations, which provide records for the Australian Baseline Sea Level Monitoring Project. A feed-forward, three-layered, artificial neural network was implemented to retrieve and predict sea level variations with different lead times. This methodology demonstrated reliable results in terms of the correlation coefficient (0.82-0.96), root mean square error (about 10% of tidal range) and scatter index (0.1-0.2), when compared with actual observations.

dc.publisherTaylor & Francis Group
dc.subjectartificial intelligence
dc.subjectsea level
dc.subjectprediction
dc.titleUsing Artificial Neural Networks to estimate sea level in continental and island coastal environments
dc.typeBook Chapter
dcterms.source.startPage451
dcterms.source.endPage457
dcterms.source.titleHydrodynamics IV: Theory and Applications
dcterms.source.placeLondon
curtin.note

ISBN for e-book version 0203020685

curtin.identifierEPR-288
curtin.accessStatusFulltext not available
curtin.facultyWestern Australian Centre for Geodesy
curtin.facultyDivision of Resources and Environment
curtin.facultyDepartment of Spatial Sciences


Files in this item

Thumbnail

This item appears in the following Collection(s)

Show simple item record