Publication detail

Knowledge base learning for rule-based expert systems

VALENTA, J. PANÁČEK, T.

Original Title

Knowledge base learning for rule-based expert systems

Type

conference paper

Language

English

Original Abstract

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.

Keywords

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

Authors

VALENTA, J.; PANÁČEK, T.

RIV year

2006

Released

31. 5. 2006

Location

Brno

ISBN

80-214-3195-4

Book

Mendel 2006

Edition number

1

Pages from

91

Pages to

94

Pages count

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"
}