Artificial-Intelligence-in-Industrial-Applications-EA072

Repository for the course "Artificial Intelligence in Industrial Applications" - EA072 at University of Campinas

Assignment 1

Part 1: Implementation of linear regression using LSE, Extreme Learning Machines and finally Neural Networks to solve the MNIST problem

Part 2: Feature selection and feature reduction.

Part 3: PCA and Nonlinear PCA using Neural Networks.

Assignment 2

Part 1: Implementation of a genetic algorithm with the goal of optimizing a PID controller

Part 2: Clustering using Kohonen maps

Part 3: Symbolic regression using Eureqa

Part 4: Bayesian Networks

Part 5: Decision trees