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Automated spectroscopic modelling with optimised convolutional neural networks
Convolutional neural networks (CNN) for spectroscopic modelling are currently tuned manually, and the effects of their hyperparameters are not analysed. These can result in sub-optimal models. Here, we propose an approach to tune one-dimensional CNN (1D-CNNs) automatically. It consists of a parametr...
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| Publicado no: | Sci Rep |
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| Main Authors: | , |
| Formato: | Artigo |
| Idioma: | Inglês |
| Publicado em: |
Nature Publishing Group UK
2021
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| Assuntos: | |
| Acesso em linha: | https://ncbi.nlm.nih.gov/pmc/articles/PMC7794546/ https://ncbi.nlm.nih.gov/pubmed/33420224 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1038/s41598-020-80486-9 |
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