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Last update: Hrnčiřík Pavel doc. Ing. Ph.D. (11.08.2013)
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Last update: Hrnčiřík Pavel doc. Ing. Ph.D. (11.08.2013)
Students will be able to: Decide whether a given technical problem can be solved using fuzzy logic control. Design an appropriate fuzzy logic controller for this problem. Propose optimization of its structure. Select an appropriate knowledge representation paradigm for a given technical problem. Design and implement rule-based systems in CLIPS. |
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Last update: Hrnčiřík Pavel doc. Ing. Ph.D. (11.08.2013)
R: Giarratano J.C., Riley G.D.,Expert Systems: Principles and Programming,Course Technology,New York,2004,0534384471 R: Russell S.,Norvig P.,Artificial Intelligence: A Modern Approach,Prentice Hall, Englewood Cliffs,2002,0137903952 R: Ross J.T., Fuzzy Logic with Engineering Applications, Wiley-Blackwell, 2010, ISBN 978-0470743768 R: Passino K.M., Yurkovich S., Fuzzy Control, Addison-Wesley,New York, 1998,020118074X R: Buckley J.J., Eslami E., An Introduction to Fuzzy Logic and Fuzzy Sets (Advances in Intelligent and Soft Computing), Physica, 2008, ISBN 978-3790814477 A: Zadeh L.A., Fuzzy Sets*, Information and Control 8, 338-353 (1965), http://www-bisc.cs.berkeley.edu/Zadeh-1965.pdf |
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Last update: Hrnčiřík Pavel doc. Ing. Ph.D. (11.08.2013)
Other study aids: Edward Sazonov: Fuzzy Logic and Applications, course EE509, Clarkson University, Potsdam, NY. http://www.intelligent-systems.info/classes/ee509/ Gary Riley: A Tool for Building Expert Systems. http://clipsrules.sourceforge.net/ Interactive MATLAB & Simulink Based Tutorials, http://www.mathworks.com/academia/student_center/tutorials/index.html?s_tid=acmain_lrn_tut |
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Last update: Hrnčiřík Pavel doc. Ing. Ph.D. (12.09.2011)
Během semestru jsou zadávány 2 samostatné projekty, z kterých je pro získání zápočtu nutné získat alespoň 50 % z max. možného bodového ohodnocení. Vlastní zkouška má písemnou formu. |
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Last update: TAJ445 (30.09.2013)
1 Fuzzy logic. Mamdani - inference method. Sugeno - inference method. 2 Fuzzy controller. Using the Matlab Fuzzy toolbox and Simulink for FC implementation. 3 Individual project - fuzzy controller. 4 Adaptive neuro-fuzzy inference system. 5 Using the fuzzy approach in cluster analysis. 6 Knowledge representation: production systems. 7 Development of expert systems using CLIPS 1. 8 Development of expert systems using CLIPS 2. 9 Knowledge representation - semantic networks, frames. 10 Reasoning under uncertainty. 11 Probabilistic approach for knowledge representation and reasoning. 12 Individual project - knowledge-based system in CLIPS. 13 Individual project - knowledge-based system in CLIPS. 14 Modern trends in artificial intelligence. |
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Last update: TAJ445 (14.12.2013)
Algorithms and Programming, Artificial Intelligence |
Teaching methods | ||||
Activity | Credits | Hours | ||
Účast na přednáškách | 1 | 28 | ||
Příprava na přednášky, semináře, laboratoře, exkurzi nebo praxi | 0.7 | 20 | ||
Práce na individuálním projektu | 0.8 | 22 | ||
Příprava na zkoušku a její absolvování | 1 | 28 | ||
Účast na seminářích | 0.5 | 14 | ||
4 / 4 | 112 / 112 |
Coursework assessment | |
Form | Significance |
Regular attendance | 20 |
Report from individual projects | 30 |
Examination test | 50 |