Detail publikace

Knowledge Coding Methods for Rule-Based Expert Systems

POLÁCH, P. JIRSÍK, V. VALENTA, J.

Originální název

Knowledge Coding Methods for Rule-Based Expert Systems

Typ

článek v časopise - ostatní, Jost

Jazyk

angličtina

Originální abstrakt

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.

Klíčová slova

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

Autoři

POLÁCH, P.; JIRSÍK, V.; VALENTA, J.

Rok RIV

2010

Vydáno

15. 9. 2010

Nakladatel

WSEAS Press

ISSN

1790-0832

Periodikum

WSEAS Transactions on Information Science and Applications

Ročník

2010

Číslo

10

Stát

Řecká republika

Strany od

1101

Strany do

1114

Strany počet

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"
}