A gradient descent boosting spectrum modeling method based on back interval partial least squares

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A gradient descent boosting spectrum modeling method based on back interval partial least squares

When the technique of boosting regression is applied to near-infrared spectroscopy, the full spectrum of samples are generally used to perform partial least squares (PLS) modeling. However, there is a large amount of redundant information and noise contained in the full spectrum. This not only incre...

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Bibliographic Details
Main Authors:	Ren, D., Qu, F., Lv, K., Zhang, Z., Xu, Honglei, Wang, X.
Format:	Journal Article
Published:	Elsevier 2015
Online Access:	http://hdl.handle.net/20.500.11937/7025

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