Abstract：This article used hemicelluloses content in acacia spp. wood as a case study to demonstrate the influence of noise in the reference data on the results of NIR calibration model. The results indicated that the accuracy of NIR calibration model was affected by the reference data noise. The less noisy data was used in calibration model, the better result could be obtained. But when the noise was larger, NIR calibration model which was built by using regression mathematics methods can perform better than using primary reference data.
姚 胜，武国峰，周舒珂，姜亦飞，金小娟，赵 强，蒲俊文* . 实验误差对近红外模型准确性的影响[J]. 光谱学与光谱分析, 2011, 31(05): 1216-1219.
YAO Sheng, WU Guo-feng, ZHOU Shu-ke, JIANG Yi-fei, JIN Xiao-juan, ZHAO Qiang, PU Jun-wen* . The Influence of Reference Data Noise on the NIR Prediction Results . SPECTROSCOPY AND SPECTRAL ANALYSIS, 2011, 31(05): 1216-1219.
