Further investigation of convolutional neural networks applied in computational electromagnetism under physics‐informed consideration
Abstract Convolutional neural networks (CNN) have shown great potentials and have been proven to be an effective tool for some image‐based deep learning tasks in the field of computational electromagnetism (CEM). In this work, an energy‐based physics‐informed neural network (EPINN) is proposed for l...
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| Principais autores: | , |
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| Formato: | Artigo |
| Idioma: | Inglês |
| Publicado em: |
Wiley
2022-06-01
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| coleção: | IET Electric Power Applications |
| Assuntos: | |
| Acesso em linha: | https://doi.org/10.1049/elp2.12183 |
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