Characteristic wavelength optimization for partial least squares regression using improved flower pollination algorithm

Characteristic wavelength optimization for partial least squares regression using improved flower pollination algorithm

Wavelength selection is crucial to the success of near-infrared (NIR) spectroscopy analysis as it considerably improves the generalization of the multivariate model and reduces model complexity. This study proposes a new wavelength selection method, interval flower pollination algorithm (iFPA), fo...

Full description

Bibliographic Details
Main Authors: Pauline Ong, Pauline Ong, Jinbao Jian, Jinbao Jian, Jianghua Yin, Jianghua Yin, Guodong Ma, Guodong Ma
Format: Article
Language:English
Published: Elsevier 2023
Subjects:
T Technology (General)
Online Access:http://eprints.uthm.edu.my/10158/1/J16308_a58a04fb74a4c20d3aa9da2a1947e460.pdf

Similar Items

Similar Items