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Evolution of recurrent fuzzy controllers

Kavka, Carlos et al · SEDICI UNLP · 2004

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Author / responsible party
Kavka, Carlos et al
Publisher
SEDICI UNLP
Year
2004
Language
English

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The main advantage of a recurrent architecture is the ability to store information from prior system states. A recurrent fuzzy controller includes hidden fuzzy variables which makes the controller more appropriate to deal with dynamic systems. We are currently investigating the effect of evolution of recurrent fuzzy controllers by applying the FV representation, which provides a set of advantages that can signi catively benefit the quality of the knowledge insertion process. Eje: Sistemas de información y Metaheurística Red de Universidades con Carreras en Informática (RedUNCI)

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APA 7

Kavka, C. E. A. (2004). Evolution of recurrent fuzzy controllers. SEDICI UNLP. http://sedici.unlp.edu.ar/handle/10915/21347

MLA

Kavka, Carlos et al. Evolution of recurrent fuzzy controllers. SEDICI UNLP, 2004. http://sedici.unlp.edu.ar/handle/10915/21347.

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Kavka, Carlos et al. 2004. Evolution of recurrent fuzzy controllers. SEDICI UNLP. http://sedici.unlp.edu.ar/handle/10915/21347.

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Kavka, C. E. A. 2004, Evolution of recurrent fuzzy controllers, SEDICI UNLP, available at: http://sedici.unlp.edu.ar/handle/10915/21347 [Accessed 8 Aug. 2026].

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Title
Evolution of recurrent fuzzy controllers
Author / contributors
Kavka, Carlos et al
Publisher
SEDICI UNLP
Publication year
2004
Language
English

Subjects

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Ciencias Informáticas; Fuzzy set; evolution
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