Robust Wavelength Selection Using Filter-Wrapper Method and Input Scaling on Near Infrared Spectral Data

Robust Wavelength Selection Using Filter-Wrapper Method and Input Scaling on Near Infrared Spectral Data

The extraction of relevant wavelengths from a large dataset of Near Infrared Spectroscopy (NIRS) is a significant challenge in vibrational spectroscopy research. Nonetheless, this process allows the improvement in the chemical interpretability by emphasizing the chemical entities related to the chem...

Full beskrivning

Bibliografiska uppgifter
Huvudupphovsmän: Divo Dharma Silalahi, Habshah Midi, Jayanthi Arasan, Mohd Shafie Mustafa, Jean-Pierre Caliman
Materialtyp: Artikel
Språk:English
Publicerad: MDPI AG 2020-09-01
Serie:Sensors
Ämnen:
near infrared spectral data
robust statistics
partial least squares
scaling
variable selection
variable importance in projection
Länkar:https://www.mdpi.com/1424-8220/20/17/5001

Internet

https://www.mdpi.com/1424-8220/20/17/5001

Liknande verk