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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
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" }