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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| Subjects: | |
| Online Access: | http://hdl.handle.net/20.500.11937/43320 |