Implementation of Perceptron as coursework for Artificial Intelligence course @ PUC Minas
- logicalOperations.py: Calculates expected result for logical operations (And, Or and Xor)
- trainingHelper.py: Sets up training data.
- perceptron.py: Perceptron implementation.
In the input directory there is one input file example. Each line represents one input, that needs to in the (2-6) range. That is, a minimum of 2 bits and a maximum of 6 bits per line. Each bit is considered a entry in the system and the chosen logical operation will be applied as if it is a multiple entry.
With every file in the same directory, run python perceptron.py, and, when required, enter input file relative or full path, learning rate, number of iterations and logical operation.
If any dependency is missing in your environment, run pip install dependency. Missing dependencies will be indicated when running perceptron.py.