Study on Calibration Model Transfer for the Near Infrared Spectrum Based on Improved S/B Algorithm
XIN Xiao-wei1, GONG Hui-li1*, DING Xiang-qian2, ZENG Jian-xin3, LIU Qi-yan3
1. College of Information Science and Engineering，Ocean University of China，Qingdao 266100, China
2. College of Information Engineering，Ocean University of China，Qiingdao 266071，China
3. Yunnan China Tobacco Industry Co., Ltd., Information Management Department，Kunming 650024，China
Abstract：In view of the limitations of S/B algorithm for nonlinear problems in calibration model transfer, based on the traditional S/B algorithm that uses linear fitting and partial least squares method for parameters，this paper improved it by introducing high power of variable and using Lagrange and Newton interpolation method to seek undetermined coefficients and the interpolation polynomial to solve the nonlinear problem of the two sets of data. In order to verify the validity of the improved algorithm，this paper built a model for the master machine firstly and predicted the master and slave machine samples respectively，and then through the experiment data and the valuation index，it selected the best function relation to correct the model and finally predicted the unknown samples of the slave machine with the improved S/B algorithm and the traditional S/B algorithm. Experimental results showed that the gap is larger between reference value and the predicted value with master model directly, the predicted value with improved S/B algorithm was closer to the reference value than the traditional S/B algorithm. The improved S/B algorithm enhanced the accuracy of the prediction and solved the nonlinear problem of the traditional S/B algorithm. The algorithm based on Lagrange and Newton interpolation achieved better effect of model transfer and enhanced the generality of application in network modeling.
信晓伟，宫会丽，丁香乾，曾建新，刘奇燕. 改进S/B算法的近红外光谱模型转移[J]. 光谱学与光谱分析, 2017, 37(12): 3709-3713.
XIN Xiao-wei, GONG Hui-li, DING Xiang-qian, ZENG Jian-xin, LIU Qi-yan. Study on Calibration Model Transfer for the Near Infrared Spectrum Based on Improved S/B Algorithm. SPECTROSCOPY AND SPECTRAL ANALYSIS, 2017, 37(12): 3709-3713.
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