Prediction of Lift and Drag Coefficients for Aircrafts Based on CNN-ATT

Computer Science

• Attention (Machine Learning) 100%
• Convolutional Neural Network 100%
• Deep Learning 25%
• Drag Coefficient 100%
• Generalization Ability 25%
• Information Representation 25%
• Long Short-Term Memory Network 25%
• Neural Network 25%
• Performance Model 25%
• Prediction Accuracy 25%
• Regression Task 25%
• Superior Performance 25%

Engineering

• Aerodynamic Model 25%
• Aircraft Structure 25%
• Angle-of-Attack 25%
• Convolutional Neural Network 100%
• Deep Learning 25%
• Drag Coefficient 100%
• Lift Coefficient 100%
• Nonlinear Problem 25%
• Output Layer 25%
• Tasks 25%

Material Science

• Aircraft 100%