A deep learning approach for predicting the architecture of 3D textile fabrics
In this paper, a deep learning approach to 3D textile geometry simulations is presented. Two different network architectures with convolutional and recurrent properties are explored. The deep neural networks were trained to generate a fully compacted 3D textile unit cell based on the weave initial a...
Tallennettuna:
| Päätekijät: | , , , |
|---|---|
| Aineistotyyppi: | Artigo |
| Kieli: | Inglês |
| Julkaistu: |
Elsevier
2024-03-01
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| Sarja: | Materials & Design |
| Aiheet: | |
| Linkit: | http://www.sciencedirect.com/science/article/pii/S0264127524001758 |
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