Computational Intelligence Methods

Garant předmětu:

Přednášející:

Cvičící:

Předmět zajišťuje:

katedra aplikované matematiky

Anotace:

Students will understand methods and techniques of computational intelligence that are mostly nature-inspired, parallel by nature, and applicable to many problems. They will learn how these methods work and how to apply them to problems related to data mining, control, intelligen games, optimizations, etc.

Požadavky:

BI-ZUM - Introduction to artificial intelligence

Osnova přednášek:

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. Model grouping and combining.

9. Inductive modeling.

10. Quantum and DNA computing.

11. Case studies, new trends.

Osnova cvičení:

1. Introduction, getting acquainted with tools.

2. Introduction to the problems.

3. Course project assignment.

4. Consultations.

5. Consultations.

6. Project checkpoint.

7. Consultations.

8. Consultations.

9. Project checkpoint.

10. Consultation.

11. Report check.

12. Project presentations, workshop.

13. Project presentations, workshop.

14. Project presentations, workshop, assessment.

Cíle studia:

The module gives an overview of basic methods and techniques of computational intelligence that stem from the classical artificial intelligence. Computational intelligence methods are mostly nature-inspired, parallel by nature, and applicable to many problems in knowledge engineering.

Studijní materiály:

1. Konar, A. ''Computational Intelligence: Principles, Techniques and Applications''. Springer, 2005. ISBN 3540208984.

2. Bishop, C. M. ''Neural Networks for Pattern Recognition''. Oxford University Press, 1996. ISBN 0198538642.

Poznámka:

Information about the course and courseware are available at https://courses.fit.cvut.cz/MIE-MVI/

Další informace:

https://courses.fit.cvut.cz/MIE-MVI/

Pro tento předmět se rozvrh nepřipravuje

Předmět je součástí následujících studijních plánů: