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Monitoring Regenerative Heat Exchanger in Steam Power Plant by Making Use of the Recurrent Neural Network Cover

Monitoring Regenerative Heat Exchanger in Steam Power Plant by Making Use of the Recurrent Neural Network

Journal of Artificial Intelligence and Soft Computing Research
Volume 11 (2021): Issue 2 (April 2021)
By: Tacjana Niksa-Rynkiewicz,  Natalia Szewczuk-Krypa,  Anna Witkowska,  Krzysztof Cpałka,  Marcin Zalasiński and  Andrzej Cader  
Open Access
|Jan 2021

Authors

Tacjana Niksa-Rynkiewicz

marcin.zalasinski@pcz.pl

Gdansk University of Technology, Faculty of Ocean Engineering and Ship Technology, Gdansk, Poland

Natalia Szewczuk-Krypa

Gdansk University of Technology, Faculty of Ocean Engineering and Ship Technology, Gdansk, Poland

Anna Witkowska

Gdansk University of Technology, Faculty of Ocean Engineering and Ship Technology, Gdansk, Poland

Krzysztof Cpałka

Czestochowa University of Technology, Department of Intelligent Computer Systems, Czestochowa, Poland

Marcin Zalasiński

Czestochowa University of Technology, Department of Intelligent Computer Systems, Czestochowa, Poland

Andrzej Cader

University of Social Sciences, Information Technology Institute, Lodz, Poland
Clark University, Worcester, USA
DOI: https://doi.org/10.2478/jaiscr-2021-0009
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Language: English
Page range: 143 - 155
Submitted on: Jul 7, 2020
Accepted on: Dec 22, 2020
Published on: Jan 29, 2021
Published by: SAN University
In partnership with: Paradigm Publishing Services
Publication frequency: 4 issues per year
Keywords:
recurrent neural network,
intelligent industrial monitoring,
Almeida–Pineda recurrent back-propagation,
regenerative heat exchanger,
steam power plant
Related subjects:
Computer sciences,
Databases and data mining,
Artificial intelligence

© 2021 Tacjana Niksa-Rynkiewicz, Natalia Szewczuk-Krypa, Anna Witkowska, Krzysztof Cpałka, Marcin Zalasiński, Andrzej Cader, published by SAN University
This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 License.

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