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Machine learning methods for estimating bent photonic crystal fiber based SPR sensor properties
In the recent years, the use of machine learning approaches in optical devices and fibers is increasing. However, most methods concentrate on the use of Artificial Neural Network (ANN) methods due to the ability of automatically fitting to the problem. In this work, a classical non-linear regression...
| Autores principales: | , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
Elsevier
2022
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| Materias: | |
| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9667262/ https://www.ncbi.nlm.nih.gov/pubmed/36406686 http://dx.doi.org/10.1016/j.heliyon.2022.e11582 |