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Data-Driven Partial Differential Equations Discovery Approach for the Noised Multi-dimensional Data
Data-driven methods provide model creation tools for systems, where the application of conventional analytical methods is restrained. The proposed method involves the data-driven derivation of a partial differential equation (PDE) for process dynamics, which can be helpful both for process simulatio...
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| Publicado no: | Computational Science – ICCS 2020 |
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| Main Authors: | , , |
| Formato: | Artigo |
| Idioma: | Inglês |
| Publicado em: |
2020
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| Assuntos: | |
| Acesso em linha: | https://ncbi.nlm.nih.gov/pmc/articles/PMC7302831/ https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1007/978-3-030-50417-5_7 |
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