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^*

^*この研究の対応する著者

研究成果: Conference article › 査読

1 被引用数 (Scopus)

抄録

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.

本文言語	English
ページ（範囲）	382-391
ページ数	10
ジャーナル	Lecture Notes in Artificial Intelligence (Subseries of Lecture Notes in Computer Science)
巻	3029
DOI	https://doi.org/10.1007/978-3-540-24677-0_40
出版ステータス	Published - 2004
外部発表	はい
イベント	17th International Conference on Industrial and Engineering Applications of Artificial Intelligence and Expert Systems, IEA/AIE 2004 - Ottowa, Ont., Canada 継続期間: 2004 5月 17 → 2004 5月 20

ASJC Scopus subject areas

理論的コンピュータサイエンス
コンピュータサイエンス（全般）

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

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引用スタイル

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Using chaos theory for the genetic learning of fuzzy controllers

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