Coastline-Prediction-Using-Climate-Change-Models
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.
Zitieren als
Claudia Fernanda Yasar (2024). Coastline-Prediction-Using-Climate-Change-Models (https://github.com/ClaudiaYasar/Coastline-Prediction-Using-Climate-Change-Models), GitHub. Abgerufen.
Kompatibilität der MATLAB-Version
Plattform-Kompatibilität
Windows macOS LinuxTags
Quellenangaben
Inspiriert von: How to map sea level rise, Sea level rise trend interpolator
Community Treasure Hunt
Find the treasures in MATLAB Central and discover how the community can help you!
Start Hunting!Live Editor erkunden
Erstellen Sie Skripte mit Code, Ausgabe und formatiertem Text in einem einzigen ausführbaren Dokument.
Versionen, die den GitHub-Standardzweig verwenden, können nicht heruntergeladen werden
Version | Veröffentlicht | Versionshinweise | |
---|---|---|---|
1.0.0 |
|