https://github.com/mehrab-kalantari/airfoil-lift-coefficient-prediction

Building a multi-input-output CNN to predict airfoil lift coefficients
https://github.com/mehrab-kalantari/airfoil-lift-coefficient-prediction

mlp-regressor multi-channel-cnn multi-input-neural-network multi-output-regression

Last synced: 4 months ago
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Building a multi-input-output CNN to predict airfoil lift coefficients

• Host: GitHub
• URL: https://github.com/mehrab-kalantari/airfoil-lift-coefficient-prediction
• Owner: Mehrab-Kalantari
• Created: 2024-06-02T08:38:13.000Z (about 1 year ago)
• Default Branch: main
• Last Pushed: 2024-06-02T08:52:07.000Z (about 1 year ago)
• Last Synced: 2025-01-16T09:42:44.391Z (5 months ago)
• Topics: mlp-regressor, multi-channel-cnn, multi-input-neural-network, multi-output-regression
• Language: Jupyter Notebook
• Homepage:
• Size: 1.86 MB
• Stars: 0
• Watchers: 1
• Forks: 0
• Open Issues: 0
• Metadata Files:
  • Readme: README.md

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README

        
# 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](pics/model.jpg)

### Evaluating Model

Total loss function (MSE)

* ![p1](pics/loss.jpg)

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