A Comparison of Sparse Partial Least Squares and Elastic Net in Wavelength Selection on NIR Spectroscopy Data

Elastic net (Enet) and sparse partial least squares (SPLS) are frequently employed for wavelength selection and model calibration in analysis of near infrared spectroscopy data. Enet and SPLS can perform variable selection and model calibration simultaneously. And they also tend to select wavelength...

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Detalles Bibliográficos
Autores principales: Fu, Guang-Hui, Zong, Min-Jie, Wang, Feng-Hua, Yi, Lun-Zhao
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Hindawi 2019
Materias:
Research Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6699329/
https://www.ncbi.nlm.nih.gov/pubmed/31467549
http://dx.doi.org/10.1155/2019/7314916

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6699329/
https://www.ncbi.nlm.nih.gov/pubmed/31467549
http://dx.doi.org/10.1155/2019/7314916

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