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

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

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...

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Bibliographic Details
Main Authors: Mahsa Gholami, Elham Ghanbari-Adivi, Mohammad Ehteram, Vijay P. Singh, Ali Najah Ahmed, Amir Mosavi, Ahmed El-Shafie
Format: Article
Language:English
Published: Elsevier 2023-12-01
Series:Ain Shams Engineering Journal
Subjects:
Longitudinal dispersion coefficient
Multilayer perceptron
Optimization
Artificial intelligence
Machine learning
Deep learning
Online Access:http://www.sciencedirect.com/science/article/pii/S2090447923001120

Internet

http://www.sciencedirect.com/science/article/pii/S2090447923001120

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