Using chaos theory for the genetic learning of fuzzy controllers

Alfons Schuster*

*Corresponding author for this work

Research output: Contribution to journalConference articlepeer-review

1 Citation (Scopus)


This paper describes a study we have undertaken in the field of intelligent, hybrid systems. The system presented, which is basically a control system, applies ideas from the fields of fuzzy logic, genetic algorithms, and chaos theory. The system is fully implemented using the Delphi programming language. First results produced by the system are encouraging in our view.

Original languageEnglish
Pages (from-to)382-391
Number of pages10
JournalLecture Notes in Artificial Intelligence (Subseries of Lecture Notes in Computer Science)
Publication statusPublished - 2004
Externally publishedYes
Event17th International Conference on Industrial and Engineering Applications of Artificial Intelligence and Expert Systems, IEA/AIE 2004 - Ottowa, Ont., Canada
Duration: 2004 May 172004 May 20

ASJC Scopus subject areas

  • Theoretical Computer Science
  • Computer Science(all)


Dive into the research topics of 'Using chaos theory for the genetic learning of fuzzy controllers'. Together they form a unique fingerprint.

Cite this