Courses – Fakultet tehničkih nauka u Novom Sadu

Subject: Intelligent systems (17.AUN44)

Type of studies	Title
Undergraduate Academic Studies	Measurement-Information Technologies and Control Engineering (Year: 4, Semester: Summer)
Undergraduate Academic Studies	Biomedical Engineering (Year: 3, Semester: Summer)

General information:

Category	Scientific-professional
Scientific or art field	Automatic Control and System Engineering
ECTS	6

Mastering the student with automatic control systems based on computer (artificial) intelligence methods.

Acquired knowledge can be used to solve specific engineering problems.

Application of artificial neural networks in identification, diagnosis, prediction and control systems. Fuzzy logic in control systems. Expert systems and decision support systems based on fuzzy logic. "Neuro-fuzzy" systems: combining fuzzy logic and neural networks in control. Genetic algorithms in control systems optimization. Design of classical and neuro-fuzzy controllers using a genetic algorithm. Support vector machines and their application in the identification and control systems.

Lectures; Computer exercises; Consultations. The examination is written and oral. The written part is eliminating. The final grade is formed on the basis of written examination (or colloquia), tests, written and oral parts of the examination.

Authors	Title	Year	Publisher	Language
Goodfellow, I., Bengio, Y., Courville, A.	Deep Learning	2017	MIT Press, Cambridge	English
Kevin M. Passino, Stephen Yurkovich	Fuzzy Control	1998	Addison-Wesley	English
Jyh-Shing Roger Jang, Chuen-Tsai Sun, Eiji Mizutani	Neuro-Fuzzy and Soft Computing: A Computational Approach to Learning and Machine Intelligence	1997	Prentice Hall	English
Vojislav Kecman	Learning and Soft Computing: Support Vector Machines, Neural Networks, and Fuzzy Logic Models	2001	MIT Press	English
C. H. Chen	Fuzzy Logic and Neural Network Handbook	1996	McGraw-Hill	English
Leonid Reznik	Fuzzy Controllers	1997	Newnes	English