2024
DOI: 10.2166/wcc.2024.558
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Double decomposition with enhanced least-squares support vector machine to predict water level

Vikneswari Someetheram,
Muhammad Fadhil Marsani,
Mohd Shareduwan Mohd Kasihmuddin
et al.

Abstract: As global climates undergo changes, the frequency of water-related disasters rises, leading to significant economic losses and safety hazards. During flood events, river water levels exhibit unpredictable fluctuations, introducing considerable noise that poses challenges for accurate prediction. A prediction of water level by using existing water level data makes a major contribution to forecasting flood. Enhanced least-squares support vector machine (ELSSVM) is utilized by integrating an additional extra bias… Show more

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