Artificial Intelligence
Lecture materials at VŠB-TU
All codes are written in Matlab R2014a
01 – Introduction artificial intelligence
Introduction to the topic of the artificial intelligence.
02 – Fuzzy sets and logic
Implementation of tip decision with a fuzzy toolbox.
03 – Expert systems
Implementation of expert systems
04 – British museum
Shortest path algorithm called British museum.
05 – Breadth First Search and Depth First Search
Shortest path algorithms BFS and DFS.
06 – Value iteration, Discounting
Iteration of value in gridword – shortest path algorithm with goals.
07 – Markov decision process
Probability driven model of grid word movement.
08 – Hill climbing
Search of local maximum based on hill climbing.
09 – Evolutionary algorithm
Evolutionary algorithm to search local maximum.
10 – Evolutionary algorithm, symbolic regression
Evolutionary algorithm to search function approximation for given dataset.
11 – K-means
Implementation of K-means clustering.
12 – Neural Networks
Simple neural networks to recognize animals based on features.
13 – Convolutional Neural Networks
Convolutional Neural Networks