Initial Prediction of Course Changing Positions for Sailboats
This project is a showcase of my skills in applied artificial intelligence (AI), developed as part of my coursework for my studies in Applied AI at the FH-SWF.
The project includes a Jupyter Notebook coded in Python using TensorFlow, and markdown entries in German.
Jupyter Notebook
The Jupyter Notebook, titled SegelbootKurswechselpositionen.ipynb
, contains experiments conducted for this project. The navigation algorithm used in the notebook is based on the course finder developed by the Sailing Team Darmstadt e.V.. Please note that the course finder algorithm by the Sailing Team Darmstadt e.V. is proprietary and therefore could not be included in this project.
Data
The training data used for this project can be found in the data
folder.
Description
An exercise in which I am trying to predict a routing tool will predict that works with gradient desent.
It could be used to get an initial estimate of an route that can be enhanced later.
This is meant to save CPU and produce an better initial route to be optimized.
Languages
Jupyter Notebook
91.5%
Python
8.5%