Semi-supervised chemometric methodology for improved multivariate calibration of spectrometers.

Semi-supervised chemometric methodology for improved multivariate calibration of spectrometers.

In this work, a semi-supervised chemometric methodology is designed to improve the predicted accuracy for the multivariate calibration in spectrometers. The simulation is carried out on MATLAB platform. The available toolbox of partial least-squares regression (PLS), which is a very powerful algorit...

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書目詳細資料
主要作者:	Chen, Zheng Yu.
其他作者:	School of Chemical and Biomedical Engineering
格式:	Final Year Project
語言:	English
出版:	2010
主題:	DRNTU::Science::Chemistry::Biochemistry::Spectroscopy
在線閱讀:	http://hdl.handle.net/10356/39522
標簽:	添加標簽沒有標簽, 成為第一個標記此記錄!

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