Goal: The goal of the course is to give introduction to the soft computing technologies, fuzzy systems, neural networks and hybrid systems. The acquired topics qualify the students to model relevant problems in fuzzy rule base environment, with different operator families, and to construct neural networks taking in account different learning rules. The students will be familiar with ANFIS system construction not only based on theoretical background of them, but also using related software tools (Matlab for example). The student becomes familiar with the basic machine learning rules and how to apply them in the classification, cluster and big data algorithms.
Course description: Fuzzy set theory. Fuzzy based approximate reasoning and fuzzy control. Neural networks, Anfis systems. Learning rules. Classification and cluster algorithms. Big data – basic theoretical background.