期刊论文详细信息
Advances in Aerodynamics
Deep learning approaches in flow visualization
Fang Wang1  Xiaoru Yuan2  Can Liu2  Datong Wei2  Changhe Yang2  Yanda Li2  Ruike Jiang2 
[1] China Aerodynamics Research and Development Center;Key Laboratory of Machine Perception (Ministry of Education), and School of AI, Peking University;
关键词: Deep learning;    Flow visualization;    Data management;    Feature extraction;    Particle tracing;   
DOI  :  10.1186/s42774-022-00113-1
来源: DOAJ
【 摘 要 】

Abstract With the development of deep learning (DL) techniques, many tasks in flow visualization that used to rely on complex analysis algorithms now can be replaced by DL methods. We reviewed the approaches to deep learning technology in flow visualization and discussed the technical benefits of these approaches. We also analyzed the prospects of the development of flow visualization with the help of deep learning.

【 授权许可】

Unknown   

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