https://github.com/ruoheng-du/thermal-expansion-error-prediction

Thermal Expansion Error Prediction | Summer 2023
https://github.com/ruoheng-du/thermal-expansion-error-prediction

deep-learning keras lstm lstm-regression multiple-linear-regression thermal-expansion-error

Last synced: about 14 hours ago
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Thermal Expansion Error Prediction | Summer 2023

• Host: GitHub
• URL: https://github.com/ruoheng-du/thermal-expansion-error-prediction
• Owner: ruoheng-du
• Created: 2023-07-25T10:59:04.000Z (over 1 year ago)
• Default Branch: main
• Last Pushed: 2024-05-24T07:05:19.000Z (8 months ago)
• Last Synced: 2024-11-15T08:40:34.995Z (2 months ago)
• Topics: deep-learning, keras, lstm, lstm-regression, multiple-linear-regression, thermal-expansion-error
• Language: Jupyter Notebook
• Homepage:
• Size: 40.7 MB
• Stars: 3
• Watchers: 1
• Forks: 0
• Open Issues: 0
• Metadata Files:
  • Readme: README.md

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README

        
# Thermal Expansion Error Prediction | Summer 2023

This is the repository for the thermal expansion error prediction research project done during Summer 2023. This project uses the LSTM network for training and regression. Most of the programming and tidying work were done through Python Keras & Scikit-learn & Pandas, which can be found in the lstm_keras directory. Some other MATLAB implementations can be found in the lstm_matlab directory. For more details, please refer to the report. Please feel free to email me at [email protected] for any more information.

## Overall Result

The best model done by LSTM network has a train RMSE of 0.126 and a test RMSE of 0.127. More details can be found under the /lstm_keras/best model/ directory.