A novel spatial-temporal prediction method for the effects of fish movement on flow field based on hybrid deep neural network

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 obtained via time-consuming transient numerical simulation. Hence, a hybrid deep neural network (HDNN) appro...

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Veröffentlicht in:	Engineering applications of computational fluid mechanics 2024-12, Vol.18 (1)
Hauptverfasser:	Wang, Jingyang, Baiyinbaoligao, Mu, Xiangpeng, Qie, Zhihong, Xu, Fengran, Li, Xiaochen
Format:	Artikel
Sprache:	eng
Schlagworte:	Artificial neural networks Beat frequencies deep neural network Fish Fishways Fluid flow fluid-structure interaction Modules Neural networks Unsteady flow Unsteady flow prediction
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