Predicting sea level variations with artificial neural networks at Hillarys Boat Harbour, Western Australia
Makarynskyy, Oleg and Makarynska, Dina and Kuhn, Michael and Featherstone, Will (2004) Predicting sea level variations with artificial neural networks at Hillarys Boat Harbour, Western Australia, Estuarine, Coastal and Shelf Science 61(2):351-360.
Abstract
In the present study, the artificial intelligence meshless methodology of neural networks was used to predict hourly sea level variations for the following 24 hours, as well as for half-daily, daily, 5-daily and 10-daily mean sea levels. The methodology is site specific; therefore, as an example, the measurements from a single tide gauge at Hillarys Boat Harbour, Western Australia, for the period December 1991-December 2002 were used to train and to validate the employed neural networks. The results obtained show the feasibility of the neural sea level forecasts in terms of the correlation coefficient (0.7-0.9), root mean square error (about 10% of tidal range) and scatter index (0.1-0.2).
| EPrint Type: | Journal (Paginated) |
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| Research Centre or Department: | Department of Spatial Sciences |
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| Keywords: | sea level variations
tide gauge
artificial neural networks
forecast
Western Australian coast |
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| Subjects: | The Australian Standard Research Classification: 280000 Information, Computing And Communication Sciences: 280200 Artificial Intelligence And Signal And Image Processing: 280212 Neural Networks, Genetic Alogrithms and Fuzzy Logic
The Australian Standard Research Classification: 260000 Earth Sciences: 260400 Oceanography: 260403 Physical Oceanography
The Australian Standard Research Classification: 280000 Information, Computing And Communication Sciences: 280200 Artificial Intelligence And Signal And Image Processing: 280210 Simulation and Modelling
The Australian Standard Research Classification: 290000 Engineering And Technology: 291000 Geomatic Engineering: 291001 Geodesy
Curtin: Divisions: Division of Resources and Environment: Department of Spatial Sciences |
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| ID Code: | 25 |
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| Deposited By: | Makarynskyy, Dr Oleg |
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| Deposited On: | 15 December 2006 |
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| Alternative Locations: | http://dx.doi.org/10.1016/j.ecss.2004.06.004 |
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| Additional Information: | O. Makarynskyy, , D. Makarynska, M. Kuhn and W.E. Featherstone(2004) Predicting sea level variations with artificial neural networks at Hillarys Boat Harbour, Western Australia. Estuarine, Coastal and Shelf Science 61(2):351-360.
The link to this article is:
http://dx.doi.org/10.1016/j.ecss.2004.06.004
Copyright © 2004 Elsevier B.V. All rights reserved
If you wish to contact a Curtin researcher associated with this document, you may obtain an email address from:
http://osgweb.curtin.edu.au/find/searchcurtinstaff.html |
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