Publication detail

Knowledge Coding Methods for Rule-Based Expert Systems

POLÁCH, P. JIRSÍK, V. VALENTA, J.

Original Title

Knowledge Coding Methods for Rule-Based Expert Systems

Type

journal article - other

Language

English

Original Abstract

This paper gives an overview of knowledge representation methods that are currently being implemented for use in a hybrid expert system shell that has been under development at the Department of Control and Instrumentation, BUT. Two approaches are discussed - a diagnostic and a planning expert system knowledge base coding. A new method suitable for diagnostic rule-based expert systems with automated weight tuning, deriving from neural networks, is proposed. Next, an approach to modeling knowledge bases using Petri Nets is discussed and inference engine operations are compared for both diagnostic and planning expert system.

Keywords

Expert systems; Knowledge base tuning; Knowledge engineering; Petri Nets; Resla

Authors

POLÁCH, P.; JIRSÍK, V.; VALENTA, J.

RIV year

2010

Released

15. 9. 2010

Publisher

WSEAS Press

ISBN

1790-0832

Periodical

WSEAS Transactions on Information Science and Applications

Year of study

2010

Number

10

State

Hellenic Republic

Pages from

1101

Pages to

1114

Pages count

14

BibTex

@article{BUT49909,
  author="Petr {Polách} and Václav {Jirsík} and Jan {Valenta}",
  title="Knowledge Coding Methods for Rule-Based Expert Systems",
  journal="WSEAS Transactions on Information Science and Applications",
  year="2010",
  volume="2010",
  number="10",
  pages="1101--1114",
  issn="1790-0832"
}