Water level prediction for rivers under tidal influence using artificial neural network
In this study, Artificial Neural Networks (ANN)s were developed to forecast water level for the next hour and the next 3,6 or 12 hours. The inputs consisted only of the rainfall, predicted tide level and previous water level. Backpropagation (BP) and recurrent (REC) network were selected for this st...
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| Format: | Thesis |
| Language: | English |
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Universiti Malaysia Sarawak, UNIMAS
2005
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| Online Access: | http://ir.unimas.my/id/eprint/3164/ http://ir.unimas.my/id/eprint/3164/1/Rosmina%20Ahmad%20Bustami%20ft.pdf |
| _version_ | 1848835154248728576 |
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| author | Rosmina, Binti Ahmad Bustami |
| author_facet | Rosmina, Binti Ahmad Bustami |
| author_sort | Rosmina, Binti Ahmad Bustami |
| building | UNIMAS Institutional Repository |
| collection | Online Access |
| description | In this study, Artificial Neural Networks (ANN)s were developed to forecast water level for the next hour and the next 3,6 or 12 hours. The inputs consisted only of the rainfall, predicted tide level and previous water level. Backpropagation (BP) and recurrent (REC) network were selected for this study. |
| first_indexed | 2025-11-15T06:03:21Z |
| format | Thesis |
| id | unimas-3164 |
| institution | Universiti Malaysia Sarawak |
| institution_category | Local University |
| language | English |
| last_indexed | 2025-11-15T06:03:21Z |
| publishDate | 2005 |
| publisher | Universiti Malaysia Sarawak, UNIMAS |
| recordtype | eprints |
| repository_type | Digital Repository |
| spelling | unimas-31642023-07-05T01:23:21Z http://ir.unimas.my/id/eprint/3164/ Water level prediction for rivers under tidal influence using artificial neural network Rosmina, Binti Ahmad Bustami TC Hydraulic engineering. Ocean engineering In this study, Artificial Neural Networks (ANN)s were developed to forecast water level for the next hour and the next 3,6 or 12 hours. The inputs consisted only of the rainfall, predicted tide level and previous water level. Backpropagation (BP) and recurrent (REC) network were selected for this study. Universiti Malaysia Sarawak, UNIMAS 2005 Thesis NonPeerReviewed text en http://ir.unimas.my/id/eprint/3164/1/Rosmina%20Ahmad%20Bustami%20ft.pdf Rosmina, Binti Ahmad Bustami (2005) Water level prediction for rivers under tidal influence using artificial neural network. Masters thesis, Universiti Malaysia Sarawak (UNIMAS). |
| spellingShingle | TC Hydraulic engineering. Ocean engineering Rosmina, Binti Ahmad Bustami Water level prediction for rivers under tidal influence using artificial neural network |
| title | Water level prediction for rivers under tidal influence using artificial neural network |
| title_full | Water level prediction for rivers under tidal influence using artificial neural network |
| title_fullStr | Water level prediction for rivers under tidal influence using artificial neural network |
| title_full_unstemmed | Water level prediction for rivers under tidal influence using artificial neural network |
| title_short | Water level prediction for rivers under tidal influence using artificial neural network |
| title_sort | water level prediction for rivers under tidal influence using artificial neural network |
| topic | TC Hydraulic engineering. Ocean engineering |
| url | http://ir.unimas.my/id/eprint/3164/ http://ir.unimas.my/id/eprint/3164/1/Rosmina%20Ahmad%20Bustami%20ft.pdf |