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PLSR model established using the full wavelengths presented a good performance, with R c 2 of 0.934 and root mean.
Jul 13, 2015. The root mean square errors of calibration (RMSEC), the root mean square. the ratio of standard error of prediction to standard deviation (RPD), The NIR spectra (1,100–2,498 nm) of typical corn samples are shown in Fig.
root mean square error of prediction (RMSEP), hence for any prediction the. This correction has been used successfully for NIR  and Raman  applica-.
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Fourier transform near-infrared spectroscopy (FT-NIRS) application. – Nevertheless, due to spectral features in the NIR region and in order to. mean square error of cross-validation (RMSECV), root mean square error of prediction.
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The proposed near-infrared spectroscopy (NIR)-based method uses reflectance spectra of. 1)) without the need to.
REVIEW. Near Infrared Spectroscopy: fundamentals, practical aspects and analytical applications. Celio Pasquini. Instituto de Química, Universidade Estadual de.
Feb 1, 2013. infrared (Vis/NIR) spectroscopy were investigated to determine the levels of. ( R2), root mean square error of prediction (RMSEP) and bias by.
Behavioral model runs were selected based on a threshold criterion of a mean root-mean-square error that was.
Novel Prediction of Total Fat Content in Cocoa Beans by FT-NIR Spectroscopy Based on Effective Spectral Selection Multivariate Regression
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. (FT-NIR) spectroscopy in. low root mean square error of prediction (RMSEP), Prediction of starch content and ethanol yields of sorghum grain using near.
Determination of Pear Internal Quality Attributes by Fourier. – Determination of Pear Internal Quality Attributes by Fourier. and root mean square error of prediction. be unreliable for prediction by FT-NIR.
NIR PLSR model selection for Kappa number prediction of. We developed an NIR PLSR model for the prediction of. and root mean square error of prediction.
This gives a better feel for the error to be expected in predictions. a "C" in the RMSECV abbreviation, which stands for root mean square error.
RMSEP, Root Mean Square Error of Prediction – This measures the average accuracy (i.e. the difference between the true and estimated compositional value) of.
ORIGINAL PAPER Prediction of Egg Freshness and Albumen Quality Using Visible/Near Infrared Spectroscopy Nicolas Abdel-Nour & Michael Ngadi &.
Practical implementation in fluorescence spectroscopy. root mean square error of prediction. (NIR) data sets . The.