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Václav Jirsík, Petr Honzík
Originální název
Hybrid Expert System
Typ
článek v časopise - ostatní, Jost
Jazyk
angličtina
Originální abstrakt
This article deals with hybrid expert system that has knowledge base realized through a hierarchical structure of artificial neural networks (NN). The decision tree is built by C4.5 algorithm at first. In the next step the nods of the tree are replaced by NN. They are trained to split the data in the same way as the nods. So the problem is separated into partial sub-problems that are solved by individual NN. At the end an expert is requested to change the structure of particular NN according to his knowledge and experiences. Each NN solves a partial sub-problem what decreases demands upon the capability of an expert and accelerates the time needed to harmonize the knowledge base. Unlike the traditional expert system, the output of this architecture is not classification, however we receive a list of hypotheses evaluated by certain value of the hypothesis trust.
Klíčová slova
expert system, connectionist expert system, knowledge base, neural network, decision tree
Autoři
Rok RIV
2005
Vydáno
1. 1. 2005
ISSN
1790-0832
Periodikum
WSEAS Transactions on Information Science and Applications
Ročník
4
Číslo
7
Stát
Řecká republika
Strany od
95
Strany do
97
Strany počet
3
BibTex
@article{BUT46532, author="Václav {Jirsík} and Petr {Honzík}", title="Hybrid Expert System", journal="WSEAS Transactions on Information Science and Applications", year="2005", volume="4", number="7", pages="3", issn="1790-0832" }