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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主要な著者: Gholami M., Ghanbari-Adivi E., Ehteram M., Singh V.P., Najah Ahmed A., Mosavi A., El-Shafie A.
その他の著者: 56973673400
フォーマット: 論文
出版事項: Ain Shams University 2024
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