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Detail publikace
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
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" }