Detail publikace

Hybrid Expert System

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

Václav Jirsík, Petr Honzík

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"
}