Binary Coati Optimization Algorithm- Multi- Kernel Least Square Support Vector Machine-Extreme Learning Machine Model (BCOA-MKLSSVM-ELM): A New Hybrid Machine Learning Model for Predicting Reservoir Water Level

• Main Authors: Sammen S.S., Ehteram M., Sheikh Khozani Z., Sidek L.M.
• Other Authors: 57192093108
• Format: Article
• Published: MDPI 2024
• Subjects: hybrid models; hydrological simulations; optimization algorithms; water level; Malaysia; Forecasting; Knowledge acquisition; Learning algorithms; Learning systems; Machine components; Optimization; Radial basis function networks; Reservoirs (water); Support vector machines; Time series; Vectors; Hybrid model; Hydrological simulations; Kernel function; Learning machines; Least square support vector machines; Machine modelling; Multi-kernel; Optimization algorithms; Reservoir water level; Support vector machine models; algorithm; hydrological modeling; machine learning; optimization; rainfall; reservoir; support vector machine; Water levels

Predicting reservoir water levels helps manage droughts and floods. Predicting reservoir water level is complex because it depends on factors such as climate parameters and human intervention. Therefore, predicting water level needs robust models. Our study introduces a new model for predicting rese...