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/3164/ http://ir.unimas.my/3164/1/Water%20level%20prediction%20for%20rivers%20under%20tidal%20influence%20using%20artificial%20neural%20network.pdf |