A new approach to genetics based machine learning in fuzzy controller design

This paper proposes an evolutionary approach to fuzzy controller design based on the "Pittsburgh" style classifier system in which whole rule-sets are the unit of credit assignment and selection. We present a description of a system based on this idea, together with experimental results us...

Ausführliche Beschreibung

Bibliographische Detailangaben

Hauptverfasser:	Carse, B., Fogarty, T.C.
Format:	Tagungsbericht
Sprache:	eng
Schlagworte:	Automatic control Environmental economics Fuzzy control Fuzzy set theory Fuzzy sets Fuzzy systems Genetics Machine learning Motion control Temperature control
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