Publication detail

Modified back-propagation for rule based systems

VALENTA, J.

Original Title

Modified back-propagation for rule based systems

Type

conference paper

Language

English

Original Abstract

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.

Keywords

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

Authors

VALENTA, J.

RIV year

2007

Released

1. 10. 2007

Location

Porto, Portugal

ISBN

978-972-99397-5-4

Book

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

Edition number

1

Pages from

150

Pages to

154

Pages count

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"
}