IUST-CI-Assignments

My solutions to IUST's Principles of Computational Intelligence assignments, Spring 2021, Dr. Mozayani

Outline

• A1
  • Perceptron with NumPy
  • Binary classification with NumPy
  • Madaline
  • MLP classifier on MNIST with Keras
  • MLP classifier on MNIST back-propagation with NumPy
• A2
  • Kohonen Self Organizing Map (SOM) implementation with NumPy to cluster RGB colors
  • Distortion on SOM
  • MLP sin function approximation with Keras
  • Radial Basis Function (RBF) approximation with NumPy
  • K-means clustering
  • MLP vs. RBF
• A3
  • Hopfield network for pattern recognition with NumPy
  • Hopfield network for noise removal on images with NumPy
  • Design Fuzzy controller
  • Fuzzy controller implementation for inverted pendulum
• A4
  • Genetic algorithm implementation for solving travelling salesman problem [Python]
  • Genetic algorithm implementation for finding roots of a polynomial equation [Python]