Particle filtering approach to membership function adjustment in fuzzy logic systems-Reference-Cited by-同舟云学术

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Particle filtering approach to membership function adjustment in fuzzy logic systems

Published:2017-05 Issue: Volume:237 Page:166-174
ISSN:0925-2312
Container-title:Neurocomputing
language:en
Short-container-title:Neurocomputing

Author:

Chung Jun Ho,Pak Jung Min,Ahn Choon Ki,You Sung Hyun,Lim Myo Taeg,Song Moon Kyou

Publisher

Elsevier BV

Subject

Artificial Intelligence,Cognitive Neuroscience,Computer Science Applications

Reference39 articles.

1. L2−L∞ Filtering for Takagi–Sugeno fuzzy neural networks based on Wirtinger-type inequalities;Choi;Neurocomputing,2015

2. An intelligent method of swarm neural networks for equalities-constrained nonconvex optimization;Che;Neurocomputing,2015

3. A new data-driven neural fuzzy system with collaborative fuzzy clustering mechanism;Prasad;Neurocomputing,2015

4. State estimation for discrete-time delayed neural networks with fractional uncertainties and sensor saturations;Kan;Neurocomputing,2013

5. H∞ state estimation for discrete-time delayed neural networks with randomly occurring quantizations and missing measurements;Zhang;Neurocomputing,2015

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