Code for a machine learning perceptron using Step Activation and Sigmoid activation functions to predict the movement of a robot in 1D space.
Project Contains
- Eulers Method for solving differential equations using different step sizes
- Box Muller method for adding noise in a normal distribution
- Method for splitting the inputs into tuples (3)
- Method for machine learning perceptron (Step)
- Method for machine learning perceptron (Sigmoid)
- ACW report based on simulation
- Excel Sheets for error evaluation