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Last update: Jirát Jiří Ing. Ph.D. (10.01.2014)
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Last update: Jirát Jiří Ing. Ph.D. (31.01.2014)
Students will be able to: Understand basic methods and techniques of computational intelligence that stem from the classical artificial intelligence Apply them in knowledge engineering. |
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Last update: Jirát Jiří Ing. Ph.D. (10.01.2014)
R:Konar, A. ''Computational Intelligence: Principles, Techniques and Applications''. Springer, 2005. ISBN 3540208984. R:Bishop, C. M. ''Neural Networks for Pattern Recognition''. Oxford University Press, 1996. ISBN 0198538642. |
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Last update: Jirát Jiří Ing. Ph.D. (10.01.2014)
https://edux.fit.cvut.cz/courses/MI-MVI/ (login necessary) |
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Last update: Jirát Jiří Ing. Ph.D. (10.01.2014)
1. Introduction to computational intelligence, its uses. 2. Algorithms of machine learning. 3. Neural networks. 4. Evolutionary algorithms, evolution of neural networks. 5. [3] Computational intelligence methods: for clustering, for classification, for modeling and prediction. 6. Fuzzy logic. 7. Swarms (PSO, ACO). 8. Ensemble methods. 9. Inductive modeling. 10. Quantum and DNA computing. 11. Case studies, new trends. |
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Last update: Jirát Jiří Ing. Ph.D. (31.01.2014)
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Teaching methods | ||||
Activity | Credits | Hours | ||
Účast na přednáškách | 1 | 28 | ||
Práce na individuálním projektu | 2.2 | 61 | ||
Účast na seminářích | 0.5 | 14 | ||
4 / 4 | 103 / 112 |