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A physics-informed neural network based on mixed data sampling for solving modified diffusion equations
We developed a physics-informed neural network based on a mixture of Cartesian grid sampling and Latin hypercube sampling to solve forward and backward modified diffusion equations. We optimized the parameters in the neural networks and the mixed data sampling by considering the squeeze boundary con...
| Autores principales: | , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
Nature Publishing Group UK
2023
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| Materias: | |
| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9925766/ https://www.ncbi.nlm.nih.gov/pubmed/36781943 http://dx.doi.org/10.1038/s41598-023-29822-3 |