Jak Začít?

Máš v počítači zápisky z přednášek
nebo jiné materiály ze školy?

Nahraj je na studentino.cz a získej
4 Kč za každý materiál
a 50 Kč za registraci!




Předmět Math. methods for artificial inteligence (KMA / WTEFM)

Na serveru studentino.cz naleznete nejrůznější studijní materiály: zápisky z přednášek nebo cvičení, vzorové testy, seminární práce, domácí úkoly a další z předmětu KMA / WTEFM - Math. methods for artificial inteligence, Přírodovědecká fakulta, Ostravská univerzita v Ostravě (OU).

Top 10 materiálů tohoto předmětu

Materiály tohoto předmětu

Materiál Typ Datum Počet stažení

Další informace

Obsah

Programme of the course1.Soft computing and hard computing. Motivation: living systems, sorites paradox.2.Neural networks. Motivation by biological neural networks. Model of a neural unit. Basic terminology.3.Neurons with binary values, Hebb's rule. Perceptron, logical function, the XOR problem.4.Continuous model of a neuron, distinct activation functions, learning using the delta rule with the help of the gradient descent method.5.Fuzzy sets and basic notions (universum, convexity, normality, alpha-cut, support, kernel, fuzzy number and fuzzy interval).6.Operations on fuzzy sets. Three basic algebras and basic t-norms. Analogy with the relationship between classical logic and classical set theory.7.Fuzzy relations (unary, binary, n-ary, fuzzy equivalence relation).8.Compositions of fuzzy relations.9.Linguistic variable and linguistic expression.10.Fuzzy rules and their interpretation.11.Fuzzy inference mechanisms. Block structure of the systems.12.Fuzzification, defuzzification, fuzzy interpolation. Methodological aspects.13.Particle Swarm Optimization ? a simple and efficient tool for stochastic optimization

Literatura

Klir, G. J.; Juan, B. Fuzzy Sets and Fuzzy Logic: Theory and Applications. Prentice Hall, 1995. Nguyen, H. T.; Walker, E. A. A first course in fuzzy logic. New York: CRC Press, 1996. Nguyen, H. T.; Prasad, N. R. (eds.). Fuzzy modeling and control. New York: CRC Press, 1999. Novák, V. Fuzzy Sets and Their Applications. Adam Hilger, Bristol, 1989. Novák, V., Perfilieva, I., Močkoř, J. Mathematical Principles of Fuzzy Logic. Kluwer, Boston, 1999.

Požadavky

Combined examination: 40 points can be obtained during the semester for two written tests (20+20); 60 points are available for the final exam, which has a written part with a possible oral explanation of particular questions that may arise based on the written exam. The evaluation of the course including the classification is carried out in accordance with the Study and Examination Regulations OU.

Garant

doc. Martin Štěpnička, Ph.D.

Vyučující

Mgr. Nicolás Miguel Madrid, Ph.D.doc. Martin Štěpnička, Ph.D.Mgr. Nicolás Miguel Madrid, Ph.D.doc. Martin Štěpnička, Ph.D.