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Artificial Intelligence Systems

Type of study Bachelor
Language of instruction Czech
Code 450-2029/01
Abbreviation SsUI
Course title Artificial Intelligence Systems
Credits 4
Coordinating department Department of Cybernetics and Biomedical Engineering
Course coordinator prof. Ing. Michal Prauzek, Ph.D.

Osnova předmětu

Lectures:
1. Introduction on artificial intelligence scientific field. Principles of artificial intelligence, importace of knowledge in problem solving tasks
2. Problem solving procedures in classical logic
3. Methods of computer knowledge reprezentation
4. Mathematic and linguistc modelling
5. Vagueness formalization of knowledge in linguistic models
6. Principles of fuzzy set and fuzy logic theory
7. Fuzzy models of Mandami type, fuzzy controllers Mandami type
8. Fuzzy models of Takagi-Sugeno type, T-S controlles
9. Diagnostic and planning expert systems
10. Probabilistic expert systems
11. Topology and functions of multilayer artificial neural networks
12. Genetic algorithms - versatil optimization methods
13. Neural network optimization using GA
14. Fuzzy controller optimization using GA



Laboratories:
1. Fuzzy controller using microcomputer
2. Fuzzy controller using PLC

Computer labs:
1. Computer system MATLAB, Fuzzy ToolBox
2. Fuzzy sets and vagueness objects reprezentation in MATLAB
3. Fuzzy conditonal rules formalization in MATLAB, fuzzy modelling of Mandami type
4. Fuzzy modelling of Takagi-Sugeno type in MATLAB
5. Fuzzy controllers of Mandami and T-S types
6. Diagnostic fuzzy expert systems
7. Fuzzy expert systems in practice
8. Probalilistic shell expert systém FEL-EXPERT
9. Neural network synthesis in Neural ToolBoxu of MATLAB
10. Neural controller
11. Real genetic algorithm synthesis in MATLAB
12. Fuzzy controller optimization using genetic algorithm

E-learning

Materials are available at https://lms.vsb.cz/?lang=en

Povinná literatura

RUSSEL,S., NORVIG,P.: Artificial Intelligence, Prentice-Hall, Inc., 2003, ISBN 0-13-080302-2 
LUGER,G.F., STUBBLEFIELD,W.A.: Artificial Intelligence, The Benjamin/Cummings Publishing Company, Inc., 2009, ISBN-13: 978-0-321-54589-3  ISBN-10: 0-321-54589-3 
ZIMMERMANN,H.J. Fuzzy Set Theory - and Its Applications. Kluwer Academic Publishers, 2001. ISBN-13: 978-0792374350 

Advised literature

C. R. REEVES, J. E. ROW,. Genetic Algorithms: Principles and Perspectives. Kluwer Academic Publishers, New York, 2002.
GRAUPE,D. Principles of Artificial Neural Netvorks. World Scientific. 2013. ISBN: 978-981-4522-73-1