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APPLICATION OF AN ARTIFICIAL NEURAL NETWORK FOR PREDICTING THE THERMAL STATE OF AN AIR-SOIL HEAT EXCHANGER

In this paper, an artificial neural network was used to predict the thermal state of an air-soil heat exchanger. The artificial neural network was trained, tested, and validated using experimental data obtained at the Institutes of Engineering Thermophysics and Renewable Energy of the National Acade...

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Bibliographische Detailangaben
Datum:	2025
Hauptverfasser:	Basok , B., Novitska, M., Zurian , O., Sylniahin , M., Davydenko , D.
Format:	Artikel
Sprache:	Ukrainisch
Veröffentlicht:	Institute of Renewable Energy National Academy of Sciences of Ukraine 2025
Schlagworte:	artificial neural network air-soil heat exchanger modeling thermal regime prediction thermal state of the soil.
Online Zugang:	https://ve.org.ua/index.php/journal/article/view/537
Tags:	Tag hinzufügen Keine Tags, Fügen Sie den ersten Tag hinzu!
Назва журналу:	Vidnovluvana energetika

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Vidnovluvana energetika

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