A neural network that uses supervised learning on past races to predict a driver's finishing position!
The net achieved 81% accuracy (to +/- 2 positions), compared to 57% with polynomial regression.
https://www.hutch.io/our-games/f1-clash/
To run code, run neural-network/test7.m on the editor on MATLAB! Requires Deep Learning Toolbox.
Inputs:
- Track (e.g. Austria, input as 'AUT')
- Wet/dry race
- Qualifying position (e.g. P7)
- Driver (e.g. Raikonnen, input as 'RAI')
- Chosen strategy (e.g. '32@4@' signifies soft 3 laps, hard 2 laps, hard 4 laps)
Output:
- Predicted finishing position
To run code, run regression/test6.m on the editor.
Inputs:
- Track (e.g. Vietnam, input as 'VIE')
- Ensure strategy options (line 62) are correct