32th Congress of the International Council of the Aeronautical Sciences

03.2 - Experimental Aerodynamics

APPLIED RESEARCH ON SUPERVISED LEARNING IN THE JUDGMENT OF AIRFOIL TRANSITION

B.B. Weiš, Y.W. Gaoš, D. Liš; šNorthwestern Polytechnical University, China

We combined the latest machine learning techniques to develop an effective and reliable supervised learning model for conducting transition judgment.It is verified that the accuracy and recall rate of the model are high, indicating that the model is reliable and effective. The classification model has strong generalization ability. The classification model can predict a reasonable transition zone.


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