2022
DOI: 10.21203/rs.3.rs-1229857/v1
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An airfoil geometric-feature extraction and discrepant data fusion learning method

Abstract: The perception of geometric-features of airfoils is the basis in aerodynamic area for performance prediction, parameterization, aircraft inverse design, etc. There are three approaches to percept the geometric shape of airfoils, namely manual design of airfoil geometry parameters, polynomial definition and deep learning. The first two methods directly define geometric-features or polynomials of airfoil curves, but the number of extracted features is limited. Deep learning algorithms can extract a large number … Show more

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