Using chaos theory for the genetic learning of fuzzy controllers

Alfons Schuster

doi:10.1007/978-3-540-24677-0_40

Using chaos theory for the genetic learning of fuzzy controllers

Alfons Schuster^*

^*Corresponding author for this work

Research output: Contribution to journal › Conference article › peer-review

1 Citation (Scopus)

Abstract

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 language	English
Pages (from-to)	382-391
Number of pages	10
Journal	Lecture Notes in Artificial Intelligence (Subseries of Lecture Notes in Computer Science)
Volume	3029
DOIs	https://doi.org/10.1007/978-3-540-24677-0_40
Publication status	Published - 2004
Externally published	Yes
Event	17th International Conference on Industrial and Engineering Applications of Artificial Intelligence and Expert Systems, IEA/AIE 2004 - Ottowa, Ont., Canada Duration: 2004 May 17 → 2004 May 20

ASJC Scopus subject areas

Theoretical Computer Science
Computer Science(all)

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10.1007/978-3-540-24677-0_40

Cite this

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title = "Using chaos theory for the genetic learning of fuzzy controllers",

abstract = "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.",

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year = "2004",

doi = "10.1007/978-3-540-24677-0_40",

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Using chaos theory for the genetic learning of fuzzy controllers

Abstract

ASJC Scopus subject areas

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