The following information was submitted:
Transactions: WSEAS TRANSACTIONS ON INFORMATION SCIENCE AND APPLICATIONS
Transactions ID Number: 88-158
Full Name: Petr Polach
Position: Ph.D. Candidate
Age: ON
Sex: Male
Address: Kolejni 4
Country: CZECH REPUBLIC
Tel: 541143641
Tel prefix: +420
Fax:
E-mail address: polachpetr@phd.feec.vutbr.cz
Other E-mails: petr.polach@seznam.cz
Title of the Paper: Knowledge coding methods for rule-based expert systems
Authors as they appear in the Paper: Petr Polach, Jan Valenta, Vaclav Jirsik
Email addresses of all the authors: polachpetr@phd.feec.vutbr.cz, h.valenta@volny.cz, jirsik@feec.vutbr.cz
Number of paper pages: 14
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 engineering, Knowledge base tuning, Resla, Petri Nets
EXTENSION of the file: .pdf
Special (Invited) Session: Hybrid expert system shell
Organizer of the Session: 634-337
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