A Spacetime RBF-Based DNNs for Solving Unsaturated Flow Problems
This study presents a novel approach for modeling unsaturated flow using deep neural networks (DNNs) integrated with spacetime radial basis functions (RBFs). Traditional methods for simulating unsaturated flow often face challenges in computational efficiency and accuracy, particularly when dealing...
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| Principais autores: | , , |
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| Formato: | Artigo |
| Idioma: | Inglês |
| Publicado em: |
MDPI AG
2024-09-01
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| coleção: | Mathematics |
| Assuntos: | |
| Acesso em linha: | https://www.mdpi.com/2227-7390/12/18/2940 |
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