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Hardware Implementation of a Takagi-Sugeno Neuro-Fuzzy System Optimized by a Population Algorithm Cover

Hardware Implementation of a Takagi-Sugeno Neuro-Fuzzy System Optimized by a Population Algorithm

Journal of Artificial Intelligence and Soft Computing Research
Volume 11 (2021): Issue 3 (July 2021)
By: Piotr Dziwiński,  Andrzej Przybył,  Paweł Trippner,  Józef Paszkowski and  Yoichi Hayashi  
Open Access
|May 2021

Authors

Piotr Dziwiński

piotr.dziwinski@pcz.pl

Department of Computer Engineering, Czestochowa University of Technology, Częstochowa, Poland

Andrzej Przybył

Department of Computer Engineering, Czestochowa University of Technology, Częstochowa, Poland

Paweł Trippner

Management Department, University of Social Sciences, Łódź
Clark University

Józef Paszkowski

Information Technology Institute, University of Social Sciences, Łódź
Clark University

Yoichi Hayashi

Meiji University, Japan
DOI: https://doi.org/10.2478/jaiscr-2021-0015
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Language: English
Page range: 243 - 266
Submitted on: Sep 7, 2020
Accepted on: Apr 19, 2021
Published on: May 29, 2021
Published by: SAN University
In partnership with: Paradigm Publishing Services
Publication frequency: 4 issues per year
Keywords:
hardware implementation of fuzzy systems,
FPGA,
population algorithms
Related subjects:
Computer sciences,
Databases and data mining,
Artificial intelligence

© 2021 Piotr Dziwiński, Andrzej Przybył, Paweł Trippner, Józef Paszkowski, Yoichi Hayashi, published by SAN University
This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 License.

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