An improved boosting partial least squares method for near-infrared spectroscopic quantitative analysis-Reference-Cited by-同舟云学术

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An improved boosting partial least squares method for near-infrared spectroscopic quantitative analysis

Published:2010-05 Issue:1-2 Volume:666 Page:32-37
ISSN:0003-2670
Container-title:Analytica Chimica Acta
language:en
Short-container-title:Analytica Chimica Acta

Author:

Shao Xueguang,Bian Xihui,Cai Wensheng

Funder

National Natural Science Foundation of China

Ministry of Science and Technology (MOST) of China

Publisher

Elsevier BV

Subject

Spectroscopy,Environmental Chemistry,Biochemistry,Analytical Chemistry

Reference33 articles.

1. Use of NIRS technology with a remote reflectance fibre-optic probe for predicting mineral composition (Ca, K, P, Fe, Mn, Na, Zn), protein and moisture in alfalfa

2. NIR spectroscopic measurement of moisture content in Scots pine seeds

3. Determination of oil and water content in olive pomace using near infrared and Raman spectrometry. A comparative study

4. NIR spectrometry for counterfeit drug detection

5. Hyperspectral NIR imaging for calibration and prediction: a comparison between image and spectrometer data for studying organic and biological samples

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