The use of artificial neural networks to retrieve sea-level information from remote data sources

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The use of artificial neural networks to retrieve sea-level information from remote data sources

The knowledge of near-shore sea-level variations is of great importance in applications such as ocean engineering and safe navigation. It also plays an essential role in the practical realisation of the height reference surface in geodesy. In the cases of gaps in tide-gauge records, estimates can...

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Bibliographic Details
Main Authors:	Makarynskyy, Oleg, Kuhn, Michael, Makarynska, D., Featherstone, Will
Format:	Conference Paper
Published:	2004
Subjects:	Sea level validation Western Australia simulation artificial neural network
Online Access:	http://www.springer.com/east/home/geosciences/geophysics?SGWID=5-10008-22-52142815-detailsPage=ppmmedia\|toc http://hdl.handle.net/20.500.11937/45993

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