|
Lecturer(s)
|
-
Olej Vladimír, prof. Ing. CSc.
|
|
Course content
|
Artificial and computational intelligence. Expert systems. Knowledge representation. Design diagnostic expert system by AND/OR graph and production rules. Design expert system with uncertainty. Synthesis and analysis of decision-making processes with uncertainty. Classification and prediction economic processes by fuzzy inference systems. Models of neural networks, classification and prediction. Evolution stochastic optimization algorithms. Neuro-fuzzy-genetic systems.
|
|
Learning activities and teaching methods
|
|
Monologic (reading, lecture, briefing)
|
|
Learning outcomes
|
The aim of the course is to provide basic knowledge in the area of artificial intelligence (programming language artificial intelligence, knowledge-based and expert systems, knowledge representation) and computational intelligence (fuzzy sets, neural network and evolution stochastic optimization algorithms) and the possibilities for its use in public administration and management.
The students should be able to design fuzzy inference systems and knowledge base for binary expert sytems and expert systems with uncertainty.
|
|
Prerequisites
|
unspecified
|
|
Assessment methods and criteria
|
Oral examination
Completion and successful defense of project from the field of dissertation work.
|
|
Recommended literature
|
-
GHOSH A., TSUTSUI S. Advances in Evolutionary Computing. Theory and Applications.. A Springer-Verlag Company: Germany, 2003.
-
KELEMEN J., LIDAY M. Expertné systémy pre prax.. Bratislava: SOFA, 1996.
-
KUNCHEVA L. I. Fuzzy Classifier Design.. A Springer Verlag Company: Germany, 2000.
-
KVASNIČKA V. a kol. Evolučné algoritmy.. Bratislava: STU, 2000.
-
Kvasnička V. a kol. Úvod do teórie neurónových sietí. 1997, IRIS Bratislava.. Bratislava: IRIS, 1997.
-
NILSSON N. J. Artificial Intelligence: A New Synthesis.. Morgan Kaufmann, 1998. ISBN 1558604677.
-
OLEJ V. Modelovanie ekonomických procesov na báze výpočtovej inteligencie.. Hradec Králové: Miloš Vognar - M&V, 2003. ISBN 80-903024-9-1.
-
RUSSEL S., NORVIG P. Artificial Intelligence. A Modern Approach.. Prentice Hall, Second Edition, New Jersey, 2003.
-
RUTKOWSKI L., KACPRZYK J. Advances in Soft Computing. Neural Networks and Soft Computing.. A Springer-Verlag Company: Germany, 2003.
|