Detail publikace

Modified back-propagation for rule based systems

VALENTA, J.

Originální název

Modified back-propagation for rule based systems

Typ

článek ve sborníku ve WoS nebo Scopus

Jazyk

angličtina

Originální abstrakt

This paper describes a method to eliminate knowledge engineer from the process of expert system's knowledge base creation. The methods developed for this task are mainly based on fusion of neural networks and rules. Two basic algorithms are shortly presented here and their advantages and shortcomings are noticed. The developed method consists on a modification of back-propagation algorithm to learn the rule base directly. The structure, properties and method of learning are presented. Finally the process of using the algorithm and its main advantages are described.

Klíčová slova

back-propagation, expert system, knowledge-base, learning

Autoři

VALENTA, J.

Rok RIV

2007

Vydáno

1. 10. 2007

Místo

Porto, Portugal

ISBN

978-972-99397-5-4

Kniha

Proceedings of the IASK International Conference E-Activity and Leading Technologies

Číslo edice

1

Strany od

150

Strany do

154

Strany počet

5

BibTex

@inproceedings{BUT28058,
  author="Jan {Valenta}",
  title="Modified back-propagation for rule based systems",
  booktitle="Proceedings of the IASK International Conference E-Activity and Leading Technologies",
  year="2007",
  number="1",
  pages="150--154",
  address="Porto, Portugal",
  isbn="978-972-99397-5-4"
}