Rosmina, Binti Ahmad Bustami (2005) Water level prediction for rivers under tidal influence using artificial neural network. Masters thesis, Universiti Malaysia Sarawak (UNIMAS).
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Abstract
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.
| Item Type: | Thesis (Masters) |
|---|---|
| Additional Information: | Thesis (M.Sc.) - Universiti Malaysia Sarawak , 2005. |
| Uncontrolled Keywords: | Artificial Neural Network (ANN), research, postgraduate, UNIMAS, Universiti Malaysia Sarawak, university, universiti, Borneo, Malaysia, Sarawak, Kuching, Samarahan, IPTA, education |
| Subjects: | T Technology > TC Hydraulic engineering. Ocean engineering |
| Divisions: | Academic Faculties, Institutes and Centres > Faculty of Engineering Faculties, Institutes, Centres > Faculty of Engineering |
| Depositing User: | Karen Kornalius |
| Date Deposited: | 10 Jun 2014 03:15 |
| Last Modified: | 05 Jul 2023 01:23 |
| URI: | http://ir.unimas.my/id/eprint/3164 |
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