Water level forecasting model using improved artificial neural network architecture
Reliable water level forecasting can help achieve efficient and optimum use of water resources and minimize flooding damage. Currently, artificial neural network (ANN) has been successfully tested in many forecasting studies, including river flow. However, the accuracy and reliability of the river f...
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| Main Author: | |
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| Format: | Thesis |
| Language: | English |
| Published: |
2012
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| Subjects: | |
| Online Access: | http://umpir.ump.edu.my/id/eprint/13483/1/MUHAMMAD%20%40%20S%20A%20KHUSHREN%20SULAIMAN.pdf http://umpir.ump.edu.my/id/eprint/13483/ |
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| Institution: | Universiti Malaysia Pahang |
| Language: | English |