High-dimensional aerodynamic data modeling using a machine learning method based on a convolutional neural network

Advances in Aerodynamics

Table 1 Statistics of some related studies

Reference	Aerodynamic shape	Number of independent variables	Model
Bouhlel [23]	Airfoil	16	mSANN
Du [20]	Airfoil	28	MLP
Secco [24]	Aircraft	40	MLP
Barnhart [25]	Wing	20	MLP
Karali [26]	Aircraft	22	MLP
Li [27]	Wing	60	MLP
Thuerey [30]	Airfoil	Pixels of airfoil image	CNN
Zhang [19]	Airfoil		CNN
Yu [31]	Airfoil		CNN
Chen [32]	Airfoil		CNN
He [33]	Airfoil		CNN