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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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Bibliographische Detailangaben
Datum:	2025
1. Verfasser:	Krysenko, Pavlo
Format:	Artikel
Sprache:	Ukrainisch
Veröffentlicht:	Kyiv National University of Construction and Architecture 2025
Schlagworte:	deep learning low pass filter convolutional neural networks metamaterials
Online Zugang:	https://es-journal.in.ua/article/view/328625
Tags:	Tag hinzufügen Keine Tags, Fügen Sie den ersten Tag hinzu!
Назва журналу:	Environmental safety and natural resources

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Environmental safety and natural resources

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