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Machine Learning

Evolution

This project was generated with Angular CLI version 16.0.5.

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Description

Threejs implementation of Radu Mariescu-Istodor AKA (The Legend) driving evolution neural network.

Details

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  • On the top you can see the current evolution version, the number of cars running, the current score and the last best score. We only save the evolution if it makes a better score.
  • Each evolution has 100 instances of the same neural network with a .1 mutation.
  • The neural network has 9 inputs, 2 hidden layers with 5 neurons each and 2 outputs.
  • The inputs are the distance to the left and right wall, the current land and the distance to the next obstacle.
  • Inputs from 1 to 7 are:
  1. Left limit,
  2. 5 front sensors
  3. 1 Right limit.
  • Input 8 is the angle of the car.
  • Input 9 is the center of a lane.
  • The outputs are Left or Right.

Development server

Run ng serve for a dev server. Navigate to http://localhost:4200/. The application will automatically reload if you change any of the source files.

Code scaffolding

Run ng generate component component-name to generate a new component. You can also use ng generate directive|pipe|service|class|guard|interface|enum|module.

Build

Run ng build to build the project. The build artifacts will be stored in the dist/ directory.

Running unit tests

Run ng test to execute the unit tests via Karma.

Running end-to-end tests

Run ng e2e to execute the end-to-end tests via a platform of your choice. To use this command, you need to first add a package that implements end-to-end testing capabilities.

Further help

To get more help on the Angular CLI use ng help or go check out the Angular CLI Overview and Command Reference page.