Skip to content

Building a multi-input-output CNN to predict airfoil lift coefficients

Notifications You must be signed in to change notification settings

Mehrab-Kalantari/Airfoil-Lift-Coefficient-Prediction

Folders and files

NameName
Last commit message
Last commit date

Latest commit

 

History

1 Commit
 
 
 
 
 
 
 
 

Repository files navigation

Airfoil Lift Coefficient Prediction

Airfoil Lift Coefficients Prediction using Multi-input-output CNNs

Contents

Loading Dataset

Dataset is an excel file containing numerical features and images.

Preparing and Cleaning Data

  • Handling images missing data
  • Handling wrong values
  • Resizing images to (64, 64)

Preprocessing Data

  • Scaling
  • Standardization

Creating Model

Here is the model with two inputs (images and two numerical features) and two outputs (coefficients)

  • p

Evaluating Model

Total loss function (MSE)

  • p1

Additionally, r2 score for CL and CD predictions were 0.94 and 0.45 respectively.

About

Building a multi-input-output CNN to predict airfoil lift coefficients

Topics

Resources

Stars

Watchers

Forks

Releases

No releases published

Packages

No packages published