Predicting longitudinal dispersion coefficient using ensemble models and optimized multi-layer perceptron models

• Main Authors: Gholami M., Ghanbari-Adivi E., Ehteram M., Singh V.P., Najah Ahmed A., Mosavi A., El-Shafie A.
• Other Authors: 56973673400
• Format: Article
• Published: Ain Shams University 2024
• Subjects: Artificial intelligence; Big data; Deep learning; Longitudinal dispersion coefficient; Machine learning; Multilayer perceptron; Optimization; Dispersions; Environmental management; Forecasting; Learning systems; Multilayer neural networks; Multilayers; Water resources; Firefly algorithms; Machine-learning; Multilayers perceptrons; Optimisations; Optimization algorithms; Particle swarm optimization algorithm; Salp swarms; Swarm algorithms; Particle swarm optimization (PSO)

Prediction of the longitudinal dispersion coefficient (LDC) is essential for the river and water resources engineering and environmental management. This study proposes ensemble models for predicting LDC based on multilayer perceptron (MULP) methods and optimization algorithms. The honey badger opti...