Short-term water level forecast using ANN hybrid Gaussian-nonlinear autoregressive neural network
The aim of this study is to develop the best forecast model using hybrid Gaussian-Nonlinear Autoregressive Neural Network to forecast the water level with multiple hour ahead for Melaka River. The development of flood forecast models is crucial and has led to risk control, policy recommendations, a...
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Main Authors: | , , , |
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Format: | Article |
Language: | English |
Published: |
Penerbit UTHM
2022
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Online Access: | http://eprints.utem.edu.my/id/eprint/26759/2/425-437-033%20%281%29.PDF http://eprints.utem.edu.my/id/eprint/26759/ https://penerbit.uthm.edu.my/ojs/index.php/ijie/article/view/8693/5019 |
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Institution: | Universiti Teknikal Malaysia Melaka |
Language: | English |