当前位置：
X-MOL 学术
›
Eng. Appl. Comput. Fluid Mech.
›
论文详情
Our official English website, www.x-mol.net, welcomes your
feedback! (Note: you will need to create a separate account there.)
A novel spatial–temporal prediction method for the effects of fish movement on flow field based on hybrid deep neural network
Engineering Applications of Computational Fluid Mechanics ( IF 5.9 ) Pub Date : 2024-07-04 , DOI: 10.1080/19942060.2024.2370927 Jingyang Wang 1 , Baiyinbaoligao 1 , Xiangpeng Mu 1 , Zhihong Qie 2 , Fengran Xu 1 , Xiaochen Li 1
Engineering Applications of Computational Fluid Mechanics ( IF 5.9 ) Pub Date : 2024-07-04 , DOI: 10.1080/19942060.2024.2370927 Jingyang Wang 1 , Baiyinbaoligao 1 , Xiangpeng Mu 1 , Zhihong Qie 2 , Fengran Xu 1 , Xiaochen Li 1
Affiliation
In the fish passage facility design, understanding the coupled effects of hydrodynamics on fish behaviour is particularly important. The flow field caused by fish movement however are usually obtai...
中文翻译：
基于混合深度神经网络的鱼类运动对流场影响的时空预测新方法
在鱼类通道设施设计中，了解水动力对鱼类行为的耦合影响尤为重要。然而，鱼类运动引起的流场通常可以...
更新日期：2024-07-04
中文翻译：
基于混合深度神经网络的鱼类运动对流场影响的时空预测新方法
在鱼类通道设施设计中，了解水动力对鱼类行为的耦合影响尤为重要。然而，鱼类运动引起的流场通常可以...
京公网安备 11010802027423号