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The problem of prediction of the transmission coefficient using neural networks with a limited quantity of data

The article discusses available approaches to predicting the transmission coefficient of metamaterials. In the paper was proposed different approaches that create the possibility of using data from various open sources, as well as the possibility of encoding complete structural information about the...

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Bibliographic Details
Date:	2025
Main Author:	Krysenko, Pavlo
Format:	Article
Language:	Ukrainian
Published:	Kyiv National University of Construction and Architecture 2025
Subjects:	deep learning low pass filter convolutional neural networks metamaterials
Online Access:	https://es-journal.in.ua/article/view/328625
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Journal Title:	Environmental safety and natural resources

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Environmental safety and natural resources

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