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Fluvial bedload transport modelling: advanced ensemble tree-based models or optimized deep learning algorithms?
Engineering Applications of Computational Fluid Mechanics ( IF 5.9 ) Pub Date : 2024-05-10 , DOI: 10.1080/19942060.2024.2346221 Khabat Khosravi 1 , Aitazaz A. Farooque 1 , Sayed M. Bateni 2 , Changhyun Jun 3 , Dorsa Mohammadi 4 , Zahra Kalantari 5 , James R. Cooper 6
Engineering Applications of Computational Fluid Mechanics ( IF 5.9 ) Pub Date : 2024-05-10 , DOI: 10.1080/19942060.2024.2346221 Khabat Khosravi 1 , Aitazaz A. Farooque 1 , Sayed M. Bateni 2 , Changhyun Jun 3 , Dorsa Mohammadi 4 , Zahra Kalantari 5 , James R. Cooper 6
Affiliation
The potential of advanced tree-based models and optimized deep learning algorithms to predict fluvial bedload transport was explored, identifying the most flexible and accurate algorithm, and the o...
中文翻译：
河流底泥输送建模：先进的基于树的集成模型或优化的深度学习算法？
探索了先进的基于树的模型和优化的深度学习算法在预测河流底质输送方面的潜力，确定了最灵活和最准确的算法，以及...
更新日期：2024-05-14
中文翻译：
河流底泥输送建模：先进的基于树的集成模型或优化的深度学习算法？
探索了先进的基于树的模型和优化的深度学习算法在预测河流底质输送方面的潜力，确定了最灵活和最准确的算法，以及...
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