Research Article
A New Local Modelling Approach Based on Predicted Errors for Near-Infrared Spectral Analysis
Table 3
Performance comparisons among local errors regression, global method, other local methods with different similarity criterions.
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ED: Euclidean distance; PC-M: Principal components-Mahalanobis distance; + + ED: Euclidean distance considering both spectra and property ; + + SLPP: Euclidean distance in the low-dimensional space obtained with supervised locality preserving projection method; errors + ED: Euclidean distance between predicted errors; RMSEP: root mean squared error of prediction; : correlation coefficient in prediction set; RPD: residual prediction deviation; PC factors: Principal component factors; symbol : a trade-off parameter to balance the importance of spectra and property ; : dimension of transformation matrix; and s: second. |