Comparison of hybrid deep learning models for estimation of the time-dependent scour depth downstream of river training structures

发布时间： 2024-12-12 点击次数：

• 发表刊物：Physics of Fluids
• 卷号：36
• 期号：10
• ISSN号：1070-6631
• 关键字：Adaptive boosting; Convolutional neural network; Deep neural networks; Down-stream; Gradient boosting; Learning models; Modeling performance; Model outputs; Point wise; River training structure; Scour; Scour depth; Time-dependent scours; Weirs
• 发表时间：2024-11-08