Adaptive nature-inspired algorithms for the optimal tuning of fuzzy controllers-Reference-Cited by-同舟云学术

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Adaptive nature-inspired algorithms for the optimal tuning of fuzzy controllers

Published:2019 Issue: Volume: Page:81-101
ISSN:
Container-title:Nature-inspired Optimization Algorithms for Fuzzy Controlled Servo Systems
language:
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Author:

Precup Radu-Emil,David Radu-Codrut

Publisher

Elsevier

Reference29 articles.

1. Decision function estimation using intelligent gravitational search algorithm;Askari;Int. J. Mach. Learn. Cybern.,2012

2. Engagement, exploration, explanation, extension, and evaluation (5E) learning cycle and conceptual change text as learning tools;Balci;Biochem. Mol. Biol. Educ.,2006

3. Matrix Mathematics;Bernstein,2005

4. Learning Science and the Science of Learning: Science Educators’ Essay Collection,2002

5. Dynamic parameter adaptation using interval type-2 fuzzy logic in bio-inspired optimization methods;Castillo,2018

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