Title :
Outlier Sample Analysis on Near Infrared Spectroscopy Determination for Flour Ash
Author :
Wu Shengnan ; Liu Cuiling ; Wu Jingzhu ; Sun Xiaorong ; Dong Xiuli
Author_Institution :
Beijing Technol. & Bus. Univ., Beijing, China
Abstract :
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.
Keywords :
Monte Carlo methods; ash; food technology; infrared spectroscopy; mean square error methods; milling; spectrophotometers; testing; MCCV method; Mahalanobis distance method; Monte Carlo cross validation method; NIR apparatus; PLS modeling; RMSECV; abnormal samples; flour ash model; near infrared apparatus; near infrared spectroscopy determination; outlier sample analysis; partial least squares modeling; Accuracy; Analytical models; Ash; Calibration; Chemical analysis; Predictive models; Spectroscopy; MCCV; Mahalanobis distance; flour ash; near infrared spectroscopy; unusual samples;
Conference_Titel :
Measuring Technology and Mechatronics Automation (ICMTMA), 2013 Fifth International Conference on
Conference_Location :
Hong Kong
Print_ISBN :
978-1-4673-5652-7
DOI :
10.1109/ICMTMA.2013.194
