A Vortex Identification Method Based on Extreme Learning Machine
Joint Authors
Deng, Liang
Guo, Lei
Li, Tong
Wang, Jun
Wang, Yueqing
Wang, Fang
Source
International Journal of Aerospace Engineering
Issue
Vol. 2020, Issue 2020 (31 Dec. 2020), pp.1-10, 10 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2020-11-17
Country of Publication
Egypt
No. of Pages
10
Abstract EN
Vortex identification and visualization are important means to understand the underlying physical mechanism of the flow field.
Local vortex identification methods need to combine with the manual selection of the appropriate threshold, which leads to poor robustness.
Global vortex identification methods are of high computational complexity and time-consuming.
Machine learning methods are related to the size and shape of the flow field, which are weak in versatility and scalability.
It cannot be extended and is suitable for flow fields of different sizes.
Recently, proposed deep learning methods have long network training time and high computational complexity.
Aiming at the above problems, we present a novel vortex identification method based on the Convolutional Neural Networks-Extreme Learning Machine (CNN-ELM).
This method transforms the vortex identification problem into a binary classification problem, and can quickly, objectively, and robustly identify vortices from the flow field.
A large number of experiments prove the effectiveness of our method, which can improve or supplement the shortcomings of existing methods.
American Psychological Association (APA)
Wang, Jun& Guo, Lei& Wang, Yueqing& Deng, Liang& Wang, Fang& Li, Tong. 2020. A Vortex Identification Method Based on Extreme Learning Machine. International Journal of Aerospace Engineering،Vol. 2020, no. 2020, pp.1-10.
https://search.emarefa.net/detail/BIM-1168428
Modern Language Association (MLA)
Wang, Jun…[et al.]. A Vortex Identification Method Based on Extreme Learning Machine. International Journal of Aerospace Engineering No. 2020 (2020), pp.1-10.
https://search.emarefa.net/detail/BIM-1168428
American Medical Association (AMA)
Wang, Jun& Guo, Lei& Wang, Yueqing& Deng, Liang& Wang, Fang& Li, Tong. A Vortex Identification Method Based on Extreme Learning Machine. International Journal of Aerospace Engineering. 2020. Vol. 2020, no. 2020, pp.1-10.
https://search.emarefa.net/detail/BIM-1168428
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1168428