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

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

Internet

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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