Computational Intelligence

Exercises and assignments made during a Computational Intelligence class at Federal University Of Ceará.

Summary

• Fuzzy Logic
• Regression
  • Multiple Regression
  • Polynomial Regression
• Neural Networks
  • Radial Basis Function
  • Multi Layer Perceptron
• Genetic Algorithms

Fuzzy Logic

Implementation of Fuzzy Logic with Mamdani Inference System. Handfull of class implementation to represent all Mamdani fuzzyfication and defuzzyfication processes.

Regression

Multiple Regression

Class implementation of Multiple Regression. Below we have a plan of regression, made in the code that has the multiple regression instance.

Polynomial Regression

Uses the Multiple Regression Implementation as a parent class to easily do a polynomial regression. Below we have the result of the polynomial regression instance.

Neural Networks

Assignment made to implement a Radial Basis Function and a Multi Layer Perceptron and train a model for the Vertebral Column Dataset.

Radial Basis Function

Class implementation of Radial Basis Function. You can see the usage at the RBF instance.

Multi Layer Perceptron

Class implementation of Multi Layer Perceptron. The class is used at the MLP instance.

Genetic Algorithms

Implementations of a Genetic Algorithm to solve the Travelling Salesman Problem.