Computational Intelligence

[Uni · Computational Intelligence · 2022]

Python notebooks implementing foundational neural network learning rules and a genetic algorithm solver, using only NumPy and Matplotlib — no ML frameworks.

Notebooks

Notebook	Algorithm	Description
hebb.ipynb	Hebb Learning Rule	Weight update via Hebbian correlation; 2D decision boundary visualization
perceptron.ipynb	Perceptron	Single-layer binary classifier with step activation; plots misclassification per epoch
adaline.ipynb	ADALINE	Adaptive linear neuron with LMS (Widrow-Hoff) rule; MSE convergence curve
nqueen.ipynb	Genetic Algorithm	N-Queens solver using selection, crossover, and mutation; plots fitness over generations

Data

files/1.txt – files/6.txt are 2D labeled datasets (columns: x₁, x₂, label ∈ {-1, +1}) used as input to the learning notebooks.

Run

pip install numpy scipy matplotlib jupyter
jupyter notebook

Open any .ipynb file and run all cells.