Course details

Neural Networks and Fuzzy Systems

DQR3 FEKT DQR3 Acad. year 2002/2003 Winter semester 4 credits

Current academic year

Neural networks - principles, structures, signal processing, Hopfield networks, paradigms. Fuzzy systems - principles of fuzzy logic, fuzzy numbers, design of fuzzy systems. Cooperation of neural networks and fuzzy systems and their technical applications.

Language of instruction

Czech

Completion

Examination

Time span

  • 39 hrs lectures

Department

Department of Radio Electronics (UREL)

Subject specific learning outcomes and competences

The students become familiar with the selected topics of neural networks and fuzzy systems.

Learning objectives

The aim of the course is to make students familiar with the selected topics of neural networks and fuzzy systems.

Fundamental literature

  • NOVÁK, M. Neuronové sítě a neuropočítače. Vydavatelství Výběr, Praha 1992
  • KOSKO, B. Neural Networks and Fuzzy Systems. Prentice-Hall, 1992
  • NOVÁK, V. Fuzzy množiny a jejich aplikace. Matematický seminř, SNTL Praha 1990

Course inclusion in study plans

  • Programme , field , any year of study, Compulsory
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