A Review of Machine Learning for Near-Infrared Spectroscopy

The analysis of infrared spectroscopy of substances is a non-invasive measurement technique that can be used in analytics. Although the main objective of this study is to provide a review of machine learning (ML) algorithms that have been reported for analyzing near-infrared (NIR) spectroscopy from...

Descripción completa

Detalles Bibliográficos
Autores principales: Zhang, Wenwen, Kasun, Liyanaarachchi Chamara, Wang, Qi Jie, Zheng, Yuanjin, Lin, Zhiping
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2022
Materias:
Review
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9784128/
https://www.ncbi.nlm.nih.gov/pubmed/36560133
http://dx.doi.org/10.3390/s22249764

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9784128/
https://www.ncbi.nlm.nih.gov/pubmed/36560133
http://dx.doi.org/10.3390/s22249764

Ejemplares similares