Detail publikačního výsledku

Knowledge base learning for rule-based expert systems

VALENTA, J.; PANÁČEK, T.

Originální název

Knowledge base learning for rule-based expert systems

Anglický název

Knowledge base learning for rule-based expert systems

Druh

Stať ve sborníku v databázi WoS či Scopus

Originální abstrakt

In this paper, the principles of a diagnostic expert system for automobile selection are described. The general principles and structure of the systems knowledge base are presented. The paper is focused on the method of creating the knowledge base to the used mathematical apparatus for inference and uncertainty processing. The application of the Differential Evolution algorithm for learning of the knowledge base is described.

Anglický abstrakt

In this paper, the principles of a diagnostic expert system for automobile selection are described. The general principles and structure of the systems knowledge base are presented. The paper is focused on the method of creating the knowledge base to the used mathematical apparatus for inference and uncertainty processing. The application of the Differential Evolution algorithm for learning of the knowledge base is described.

Klíčová slova

expert system; uncertainity processing; NPS32; learning; differential evolution

Klíčová slova v angličtině

expert system; uncertainity processing; NPS32; learning; differential evolution

Autoři

VALENTA, J.; PANÁČEK, T.

Vydáno

31.05.2006

Místo

Brno

ISBN

80-214-3195-4

Kniha

Mendel 2006

Strany od

91

Strany do

94

Strany počet

4

BibTex

@inproceedings{BUT19334,
  author="Jan {Valenta} and Tomáš {Panáček}",
  title="Knowledge base learning for rule-based expert systems",
  booktitle="Mendel 2006",
  year="2006",
  number="1",
  pages="91--94",
  address="Brno",
  isbn="80-214-3195-4"
}