Publication result detail

Fuzzy model optimization by a genetic algorithm

HAMMER, M.

Original Title

Fuzzy model optimization by a genetic algorithm

English Title

Fuzzy model optimization by a genetic algorithm

Type

Paper in proceedings (conference paper)

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.

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

Fuzzy

Key words in English

Fuzzy

Authors

HAMMER, M.

Released

01.01.2002

Publisher

ČVUT Praha

Location

Praha, Česká republika

ISBN

80-01-02614-0

Book

Elektroenergetika 2002

Pages from

267

Pages count

4

BibTex

@inproceedings{BUT5381,
  author="Miloš {Hammer}",
  title="Fuzzy model optimization by a genetic algorithm",
  booktitle="Elektroenergetika 2002",
  year="2002",
  pages="4",
  publisher="ČVUT Praha",
  address="Praha, Česká republika",
  isbn="80-01-02614-0"
}