Outlier Sample Analysis on Near Infrared Spectroscopy Determination for Flour Ash

The flour ash was determined by near infrared (NIR) apparatus. Mahalanobis distance method and Monte Carlo cross validation (MCCV) method for abnormal samples removed and using partial least squares (PLS) modeling, Eventually, Mahalanobis distance method for abnormal samples removed, when the weight...

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Bibliographic Details
Published in2013 Fifth International Conference on Measuring Technology and Mechatronics Automation pp. 781 - 784
Main Authors Wu Shengnan, Liu Cuiling, Wu Jingzhu, Sun Xiaorong, Dong Xiuli
Format Conference Proceeding
LanguageEnglish
Published IEEE 01.01.2013
Subjects
Accuracy
Analytical models
Ash
Calibration
Chemical analysis
flour ash
Mahalanobis distance
MCCV
near infrared spectroscopy
Predictive models
Spectroscopy
unusual samples
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ISBN9781467356527
1467356522
ISSN2157-1473
DOI10.1109/ICMTMA.2013.194

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Summary:The flour ash was determined by near infrared (NIR) apparatus. Mahalanobis distance method and Monte Carlo cross validation (MCCV) method for abnormal samples removed and using partial least squares (PLS) modeling, Eventually, Mahalanobis distance method for abnormal samples removed, when the weight factor of 1.5, excluding the number of samples is 3 to get the best results, the correlation coefficient (R2) is 92.67, cross validation mean square error (RMSECV) is 0.0485, MCCV method for abnormal samples removed, excluding the number of samples 3 to get the best results, R2 is 94.64, RMSECV is 0.0411. Mahalanobis distance method and MCCV method for abnormal samples removed have improved the accuracy of the model, and MCCV method for flour ash model is more stable and more to improve the accuracy.
ISBN:9781467356527
1467356522
ISSN:2157-1473
DOI:10.1109/ICMTMA.2013.194