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

• Datum: 2025
• 1. Verfasser: Krysenko, Pavlo
• Format: Artikel
• Sprache: Ukrainian
• 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
• Назва журналу: Environmental safety and natural resources

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...