Explore "Coastline Prediction Using Climate Change Models" by analyzing landmarks and world maps, curve fitting techniques and regression
https://github.com/ClaudiaYasar/Coastline-Prediction-Using-Climate-Change-Models
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This repository contains the curriculum materials used for the Intelligent Control Systems course YTU Department of Control and Automation Engineering.
In this live script, we explore "Coastline Prediction Using Climate Change Models" by analyzing landmarks and world maps, creating a correlation matrix, and applying curve fitting techniques including linear and polynomial fittings, along with evaluating the results. We also utilize the Regression Learner for model prediction.
I would like to express my gratitude to the students of the Intelligent Control Systems course of the YTÜ Control and Automation Engineering department, Class 2022 and 2023, whose dedication and hard work made this project possible. I am also deeply thankful to our Control Tech LAB team, Doctors Marco Rossi, and Melda Ulusoy for their invaluable contributions.
Citar como
Claudia Fernanda Yasar (2026). Coastline-Prediction-Using-Climate-Change-Models (https://github.com/ClaudiaYasar/Coastline-Prediction-Using-Climate-Change-Models), GitHub. Recuperado .
Agradecimientos
Inspirado por: How to map sea level rise, Sea level rise trend interpolator
Información general
- Versión 1.0.0 (3,32 MB)
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Compatibilidad con la versión de MATLAB
- Compatible con cualquier versión
Compatibilidad con las plataformas
- Windows
- macOS
- Linux
No se pueden descargar versiones que utilicen la rama predeterminada de GitHub
| Versión | Publicado | Notas de la versión | Action |
|---|---|---|---|
| 1.0.0 |

