Improved Water Level Forecasting Performance by Using Optimal Steepness Coefficients in an Artificial Neural Network
Developing water level forecasting models is essential in water resources management and flood prediction. Accurate water level forecasting helps achieve efficient and optimum use of water resources and minimize flooding damages. The artificial neural network (ANN) is a computing model that has been...
| Main Authors: | , , , |
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| Format: | Article |
| Language: | English |
| Published: |
Springer
2011
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| Subjects: | |
| Online Access: | http://umpir.ump.edu.my/id/eprint/13999/ http://umpir.ump.edu.my/id/eprint/13999/ http://umpir.ump.edu.my/id/eprint/13999/ http://umpir.ump.edu.my/id/eprint/13999/1/fkasa-2011-muhammad-Improved%20Water%20Level%20Forecasting%20Performance.pdf |