Publication detail

Fuzzy model optimization by a genetic algorithm

HAMMER, M.

Czech title

Fuzzy model optimalizovaný genetickým algoritmem.

English title

Fuzzy model optimization by a genetic algorithm

Type

conference paper

Language

en

Original abstract

At present days, the most popular diagnostic tools are the methods of artificial intelligence, and one method is the fuzzy modelling. However, this tool has many variable parameters, and the resulting effect depends upon the suitable setting. This paper is concentrated on the use of genetic algorithms for the optimization of variable parameters in the fuzzy model that is used as a diagnostic tool for winding insulation of electric rotary machines.

Czech abstract

Článek se zabývá diagnostikou izolačního materiálu elektrických strojů.

English abstract

At present days, the most popular diagnostic tools are the methods of artificial intelligence, and one method is the fuzzy modelling. However, this tool has many variable parameters, and the resulting effect depends upon the suitable setting. This paper is concentrated on the use of genetic algorithms for the optimization of variable parameters in the fuzzy model that is used as a diagnostic tool for winding insulation of electric rotary machines.

Keywords in Czech

Fuzzy

Keywords in English

Fuzzy

Released

01.01.2002

Publisher

ČVUT Praha

Location

Praha, Česká republika

ISBN

80-01-02614-0

Book

Elektroenergetika 2002

Pages count

4

BIBTEX


@inproceedings{BUT5381,
  author="Miloš {Hammer},
  title="Fuzzy model optimization by a genetic algorithm",
  booktitle="Elektroenergetika 2002",
  year="2002",
  month="January",
  publisher="ČVUT Praha",
  address="Praha, Česká republika",
  isbn="80-01-02614-0"
}