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Journal of Artificial Intelligence and Soft Computing Research
Édition 11 (2021): Edition 2 (April 2021)
Accès libre
Monitoring Regenerative Heat Exchanger in Steam Power Plant by Making Use of the Recurrent Neural Network
Tacjana Niksa-Rynkiewicz
Tacjana Niksa-Rynkiewicz
,
Natalia Szewczuk-Krypa
Natalia Szewczuk-Krypa
,
Anna Witkowska
Anna Witkowska
,
Krzysztof Cpałka
Krzysztof Cpałka
,
Marcin Zalasiński
Marcin Zalasiński
et
Andrzej Cader
Andrzej Cader
| 29 janv. 2021
Journal of Artificial Intelligence and Soft Computing Research
Édition 11 (2021): Edition 2 (April 2021)
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Publié en ligne:
29 janv. 2021
Pages:
143 - 155
Reçu:
07 juil. 2020
Accepté:
22 déc. 2020
DOI:
https://doi.org/10.2478/jaiscr-2021-0009
Mots clés
recurrent neural network
,
intelligent industrial monitoring
,
Almeida–Pineda recurrent back-propagation
,
regenerative heat exchanger
,
steam power plant
© 2021 Tacjana Niksa-Rynkiewicz et al., published by Sciendo
This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License.
Tacjana Niksa-Rynkiewicz
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