Reinforcement evolutionary learning using data mining algorithm with TSK-type fuzzy controllers-Reference-Cited by-同舟云学术

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

Published:2011-04 Issue:3 Volume:11 Page:3247-3259
ISSN:1568-4946
Container-title:Applied Soft Computing
language:en
Short-container-title:Applied Soft Computing

Author:

Hsu Chi-Yao,Hsu Yung-Chi,Lin Sheng-Fuu

Publisher

Elsevier BV

Subject

Software

Reference36 articles.

1. Genetic Algorithms in Search Optimization and Machine Learning;Goldberg,1989

2. Genetic Programming: On the Programming of Computers by Means of Natural Selection;Koza,1992

3. Evolutionary programming in perspective: the top-down view;Fogel,1994

4. Evolution strategy;Rechenberg,1994

5. Evolutionary fuzzy modeling;Pedrycz;IEEE Trans. Fuzzy Syst.,2003

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1. Stable adaptive probabilistic Takagi–Sugeno–Kang fuzzy controller for dynamic systems with uncertainties;ISA Transactions;2020-03

2. Practical implementation for stable adaptive interval A2-C0 type-2 TSK fuzzy controller;Soft Computing;2018-09-10

3. Application of Evolutionary Reinforcement Learning (ERL) Approach in Control Domain: A Review;Smart Innovations in Communication and Computational Sciences;2018-07-12

4. Adaptive Personalized Diet Linguistic Recommendation Mechanism Based on Type-2 Fuzzy Sets and Genetic Fuzzy Markup Language;IEEE Transactions on Fuzzy Systems;2015-10

5. Self-organization hybrid evolution learning algorithm for recurrent wavelet-based neuro-fuzzy identifier design;Journal of Intelligent & Fuzzy Systems;2013

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