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Fig. 23 | Advances in Aerodynamics

Fig. 23

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

Fig. 23

Comparison of predicted aerodynamic coefficients using MLP and CNN as a function of Mach number and angle of attack. (a) Predicted \({C}_{L}\) by MLP (left) and CNN (right), (b) Predicted \({C}_{L}\) by MLP and CNN at Ma = 5.2, (c) Predicted \({C}_{L}\) by MLP and CNN at α = 1º, (d) Predicted \({C}_{D}\) by MLP (left) and CNN (right), (e) Predicted \({C}_{D}\) by MLP and CNN at Ma = 5.2, (f) Predicted \({C}_{D}\) by MLP and CNN at α = 1º, (g) Predicted \({C}_{M}\) by MLP (left) and CNN (right), (h) Predicted \({C}_{M}\) by MLP and CNN at Ma = 5.2, (i) Predicted \({C}_{M}\) by MLP and CNN at α = 1º

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