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

• Date: 2025
• Author Affiliations: B. Basok — Institute of Engineering Thermophysics of NAS of Ukraine, Kyiv, Ukraine, National Technical University of Ukraine «Igor Sikorsky Kyiv Polytechnic Institute», Kyiv, Ukraine; M. Novitska — Institute of Engineering Thermophysics of NAS of Ukraine, Kyiv, Ukraine; O. Zurian — Institute of Renewable Energy of the National Academy of Sciences of Ukraine, Kyiv, Ukraine; M. Sylniahin — Institute of Engineering Thermophysics of NAS of Ukraine, Kyiv, Ukraine; D. Davydenko — Institute of Engineering Thermophysics of NAS of Ukraine, Kyiv, Ukraine
• Keywords: keywords
• Main Authors: Basok , B., Novitska, M., Zurian , O., Sylniahin , M., Davydenko , D.
• Format: Article
• Language: Ukrainian
• Published: Institute of Renewable Energy National Academy of Sciences of Ukraine 2025
• Subjects: artificial neural network; air-soil heat exchanger; modeling; thermal regime prediction; thermal state of the soil.
• Online Access: https://ve.org.ua/index.php/journal/article/view/537
• Journal Title: Vidnovluvana energetika

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...