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Wavelength Selection for NIR Spectroscopy Based on the Binary Dragonfly Algorithm
Wavelength selection is an important preprocessing issue in near-infrared (NIR) spectroscopy analysis and modeling. Swarm optimization algorithms (such as genetic algorithm, bat algorithm, etc.) have been successfully applied to select the most effective wavelengths in previous studies. However, the...
| Autores principales: | , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
MDPI
2019
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| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6384923/ https://www.ncbi.nlm.nih.gov/pubmed/30682788 http://dx.doi.org/10.3390/molecules24030421 |