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Use of Active Learning to Design Wind Tunnel Runs for Unsteady Cavity Pressure Measurements
Joint Authors
Srivastava, Ankur
Meade, Andrew J.
Source
International Journal of Aerospace Engineering
Issue
Vol. 2014, Issue 2014 (31 Dec. 2014), pp.1-11, 11 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2014-06-19
Country of Publication
Egypt
No. of Pages
11
Main Subjects
Engineering Sciences and Information Technology
Abstract EN
Wind tunnel tests to measure unsteady cavity flow pressure measurements can be expensive, lengthy, and tedious.
In this work, the feasibility of an active machine learning technique to design wind tunnel runs using proxy data is tested.
The proposed active learning scheme used scattered data approximation in conjunction with uncertainty sampling (US).
We applied the proposed intelligent sampling strategy in characterizing cavity flow classes at subsonic and transonic speeds and demonstrated that the scheme has better classification accuracies, using fewer training points, than a passive Latin Hypercube Sampling (LHS) strategy.
American Psychological Association (APA)
Srivastava, Ankur& Meade, Andrew J.. 2014. Use of Active Learning to Design Wind Tunnel Runs for Unsteady Cavity Pressure Measurements. International Journal of Aerospace Engineering،Vol. 2014, no. 2014, pp.1-11.
https://search.emarefa.net/detail/BIM-455530
Modern Language Association (MLA)
Srivastava, Ankur& Meade, Andrew J.. Use of Active Learning to Design Wind Tunnel Runs for Unsteady Cavity Pressure Measurements. International Journal of Aerospace Engineering No. 2014 (2014), pp.1-11.
https://search.emarefa.net/detail/BIM-455530
American Medical Association (AMA)
Srivastava, Ankur& Meade, Andrew J.. Use of Active Learning to Design Wind Tunnel Runs for Unsteady Cavity Pressure Measurements. International Journal of Aerospace Engineering. 2014. Vol. 2014, no. 2014, pp.1-11.
https://search.emarefa.net/detail/BIM-455530
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-455530