Perceptron Example

This is a little GUI tool written for Neural Networks class at Wrocław University of Technology.

This tools allows to generate random, linearly separable 2D data-points and then train a simple neuron to classify its inputs accordingly. You can also edit the generated points yourself (by double clicking).

The tool allows to train the neuron using following methods:

• simple perceptron learning algorithm
• ADALINE learning algorithm

Known bugs

The graph library used sometimes causes NPEs when updating existing graphs.