Eine Plattform für die Wissenschaft: Bauingenieurwesen, Architektur und Urbanistik
Eine Plattform für die Wissenschaft: Bauingenieurwesen, Architektur und Urbanistik
Developing NARX Neural Networks for Accurate Water Level Forecasting
A reliable model for predicting fluctuations in water levels in the reservoir is essential for effective planning to manage the potential risks of flooding. A nonlinear autoregressive network with exogenous inputs (NARX) model is proposed to predict the water level of the Temengor Reservoir, Perak in Malaysia. The hyper-parameters of the proposed model have been optimized to enhance the accuracy of the proposed model while the Levenberg-Marquardt method was used to train the model. The NARX algorithm is capable of accurately predicting water levels with a high degree of accuracy. The use of the such technique for water level monitoring can be beneficial in the design of mitigation strategies for future flooding events, as it provides a critical parameter for gauging the potential severity of a flooding event. By understanding the changes in water level, emergency management teams can better prepare for and respond to floods, helping to minimize the damage and destruction they can cause.
Developing NARX Neural Networks for Accurate Water Level Forecasting
A reliable model for predicting fluctuations in water levels in the reservoir is essential for effective planning to manage the potential risks of flooding. A nonlinear autoregressive network with exogenous inputs (NARX) model is proposed to predict the water level of the Temengor Reservoir, Perak in Malaysia. The hyper-parameters of the proposed model have been optimized to enhance the accuracy of the proposed model while the Levenberg-Marquardt method was used to train the model. The NARX algorithm is capable of accurately predicting water levels with a high degree of accuracy. The use of the such technique for water level monitoring can be beneficial in the design of mitigation strategies for future flooding events, as it provides a critical parameter for gauging the potential severity of a flooding event. By understanding the changes in water level, emergency management teams can better prepare for and respond to floods, helping to minimize the damage and destruction they can cause.
Developing NARX Neural Networks for Accurate Water Level Forecasting
Water Res.Develop.Managem.
Mohd Sidek, Lariyah (Herausgeber:in) / Salih, Gasim Hayder Ahmed (Herausgeber:in) / Ahmed, Ali Najah (Herausgeber:in) / Escuder-Bueno, Ignacio (Herausgeber:in) / Basri, Hidayah (Herausgeber:in) / Basri, Hidayah (Autor:in) / Razak, Mohd Amin (Autor:in) / Sidek, Lariyah Mohd (Autor:in)
International Conference on Dam Safety Management and Engineering ; 2023 ; Kuala Lumpur, Malaysia
Proceedings of the 2nd International Conference on Dam Safety Management and Engineering ; Kapitel: 59 ; 847-853
05.02.2024
7 pages
Aufsatz/Kapitel (Buch)
Elektronische Ressource
Englisch
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