A modified particle swarm optimization procedure for triggering fuzzy flip-flop neural networks Cover

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A modified particle swarm optimization procedure for triggering fuzzy flip-flop neural networks

International Journal of Applied Mathematics and Computer Science

Volume 31 (2021): Issue 4 (December 2021)

By: Piotr A. Kowalski and Tomasz Słoczyński

Open Access

|Dec 2021

Authors

Piotr A. Kowalski

pkowal@agh.edu.pl

Faculty of Physics and Applied Computer Science, AGH University of Science and Technology, Cracow, Poland

Systems Research Institute, Polish Academy of Sciences, Warsaw, Poland

Tomasz Słoczyński

sloczynski.tomasz@gmail.com

Faculty of Physics and Applied Computer Science, AGH University of Science and Technology, Cracow, Poland

DOI: https://doi.org/10.34768/amcs-2021-0039 | Journal eISSN: 2083-8492 | Journal ISSN: 1641-876X

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Language: English

Page range: 577 - 586

Submitted on: Apr 28, 2021

Accepted on: Sep 7, 2021

Published on: Dec 30, 2021

Published by: University of Zielona Góra

In partnership with: Paradigm Publishing Services

Publication frequency: 4 issues per year

Keywords:

fuzzy neural network,

fuzzy flip-flop neuron,

particle swarm optimization,

training procedure,

Related subjects:

Applied mathematics

© 2021 Piotr A. Kowalski, Tomasz Słoczyński, published by University of Zielona Góra
This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 License.

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