Predicting sea level variations with artificial neural networks at Hillarys Boat Harbour, Western Australia
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, th...
| Main Authors: | , , , |
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| Format: | Journal Article |
| Published: |
Elsevier
2004
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| Online Access: | http://hdl.handle.net/20.500.11937/43320 |
| _version_ | 1848756658440765440 |
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| author | Makarynskyy, Oleg Makarynska, D. Kuhn, Michael Featherstone, Will |
| author_facet | Makarynskyy, Oleg Makarynska, D. Kuhn, Michael Featherstone, Will |
| author_sort | Makarynskyy, Oleg |
| building | Curtin Institutional Repository |
| collection | Online Access |
| description | 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). |
| first_indexed | 2025-11-14T09:15:42Z |
| format | Journal Article |
| id | curtin-20.500.11937-43320 |
| institution | Curtin University Malaysia |
| institution_category | Local University |
| last_indexed | 2025-11-14T09:15:42Z |
| publishDate | 2004 |
| publisher | Elsevier |
| recordtype | eprints |
| repository_type | Digital Repository |
| spelling | curtin-20.500.11937-433202019-02-19T05:35:22Z Predicting sea level variations with artificial neural networks at Hillarys Boat Harbour, Western Australia Makarynskyy, Oleg Makarynska, D. Kuhn, Michael Featherstone, Will sea level variations - tide gauge - artificial neural networks - forecast - Western Australian coast 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). 2004 Journal Article http://hdl.handle.net/20.500.11937/43320 10.1016/j.ecss.2004.06.004 Elsevier fulltext |
| spellingShingle | sea level variations - tide gauge - artificial neural networks - forecast - Western Australian coast Makarynskyy, Oleg Makarynska, D. Kuhn, Michael Featherstone, Will Predicting sea level variations with artificial neural networks at Hillarys Boat Harbour, Western Australia |
| title | Predicting sea level variations with artificial neural networks at Hillarys Boat Harbour, Western Australia |
| title_full | Predicting sea level variations with artificial neural networks at Hillarys Boat Harbour, Western Australia |
| title_fullStr | Predicting sea level variations with artificial neural networks at Hillarys Boat Harbour, Western Australia |
| title_full_unstemmed | Predicting sea level variations with artificial neural networks at Hillarys Boat Harbour, Western Australia |
| title_short | Predicting sea level variations with artificial neural networks at Hillarys Boat Harbour, Western Australia |
| title_sort | predicting sea level variations with artificial neural networks at hillarys boat harbour, western australia |
| topic | sea level variations - tide gauge - artificial neural networks - forecast - Western Australian coast |
| url | http://hdl.handle.net/20.500.11937/43320 |