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...
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| Main Authors: | , , , |
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| Format: | Article |
| Language: | English |
| Published: |
Elsevier
2023
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| Subjects: | |
| Online Access: | http://eprints.uthm.edu.my/10158/1/J16308_a58a04fb74a4c20d3aa9da2a1947e460.pdf http://eprints.uthm.edu.my/10158/ https://doi.org/10.1016/j.saa.2023.123095 |
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