Students know to apply artificial intelligence methods (methods of patterns recognition, problem solving, expert systems, fuzzy logic, fuzzy modeling and control, artificial neural networks, evolutionary algorithms) to solve problems in the identification, modeling and control of technological processes.
Prerequisites for registration:
none
Course contents:
Introduction to problems of artificial intelligence
Recognition methods (statistical and structural)
Problem solving
Expert Systems (diagnostic and planning)
Fuzzy logic, fuzzy identification, fuzzy modelling and control
Neural networks in identification and management
Neuro - fuzzy control
Evolutionary algorithms in intelligent control
Recommended or required reading:
Basic:
NÁVRAT, P. Umelá inteligencia. Bratislava: STU, 2002.
NÁVRAT, P. – BIELIKOVÁ, M. – BEŇUŠKOVÁ, Ľ. – KAPUSTÍK, I. – UNGER, M. Umelá inteligencia. Bratislava : STU v Bratislave, 2007. 393 s. ISBN 978-80-227-2629-0.
WARWICK, K. Neural networks for control and systems. London : Peter Peregrinus, 1992. 260 s. ISBN 0-86341-279-3.
TSOUKALAS, L H. – UHRING, R E. Fuzzy and neural approaches in engineering. New York : John Wiley & Sons, 1997. 587 s. ISBN 0-471-16003-2.
ZHANG, H. – LIU, D. Fuzzy Modeling and Fuzzy Control. Boston : Birkhäuser, 2006. 416 s. ISBN 978-0-8176-4491-8.