Reinforcement evolutionary learning using data mining algorithm with TSK-type fuzzy controllers

Reinforcement evolutionary learning using data mining algorithm (R-ELDMA) with a TSK-type fuzzy controller (TFC) for solving reinforcement control problems is proposed in this study. R-ELDMA aims to determine suitable rules in a TFC and identify suitable and unsuitable groups for chromosome selectio...

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Bibliographic Details

Published in:	Applied soft computing Vol. 11; no. 3; pp. 3247 - 3259
Main Authors:	Hsu, Chi-Yao, Hsu, Yung-Chi, Lin, Sheng-Fuu
Format:	Journal Article
Language:	English
Published:	Elsevier B.V 01.04.2011
Subjects:	Association rules Control Fuzzy system R-ELDMA Reinforcement learning Symbiotic evolution Symbiotic evolution Fuzzy system Control Association rules R-ELDMA Reinforcement learning
ISSN:	1568-4946, 1872-9681
Online Access:	Get full text
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