The characteristic spectral selection method based on forward and backward interval partial least squares
In the near-infrared spectroscopy, the Forward Interval Partial Least Squares (FiPLS) and Backward Interval Partial Least Squares (BiPLS) are commonly used modeling methods, which are based on the wavelength variable selection. These methods are usually of high prediction accuracy, but are strongly...
| Main Authors: | , , , , , , |
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| Format: | Journal Article |
| Published: |
Beijing Daxue Chubanshe, Peking University Press
2016
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| Online Access: | http://hdl.handle.net/20.500.11937/22687 |