Computational Intelligence Methods in Data Analysis

This repository contains my work for this course at my university.

Original course title: Metody inteligencji obliczeniowej w analizie danych

Contents

• Neural Network - folder MLP
  • written from scratch in numpy
  • has many features such as:
    • moment, rms prop,
    • softmax and classification with F1 score
    • different activation functions,
    • regularization L1 and L2,
    • early stopping and others,
• Self Organizing Map - folder SOM
  • rectangular and hexagonal maps
  • neighborhood functions: mexican hat and gaussian
  • decreasing learning rate
• Genetic Algorithm - folder AE
  • minimize a simple function
  • cutting problem - packing rectangles into a circle
  • training a neural network given it's architecture