光谱学与光谱分析, 2017, 37 (12): 3709, 网络出版: 2018-01-04  

改进S/B算法的近红外光谱模型转移

Study on Calibration Model Transfer for the Near Infrared Spectrum Based on Improved S/B Algorithm
作者单位
1 中国海洋大学信息科学与工程学院, 山东 青岛 266100
2 中国海洋大学信息工程中心, 山东 青岛 266071
3 云南中烟工业有限责任公司信息管理部, 云南 昆明 650024
摘要
针对模型转移中S/B算法对于非线性问题的局限性, 在传统S/B算法进行线性拟合、 偏最小二乘法求参数的基础上加以改进, 提出了引入变量的高次幂、 使用Lagrange插值法与Newton插值法求待定系数和插值多项式来解决两组数据的非线性问题。 为了验证改进算法的有效性, 先对主机样品建模并分别预测主机和子机样品, 然后通过实验数据和评价指标, 筛选出最佳函数关系进行子机模型校正, 并分别用改进的S/B算法和传统的S/B算法对子机未知样本进行预测。 实验结果表明: 直接用主机原模型对子机预测的值与真实值差距较大, 利用改进的S/B算法(H-S/B)比传统的S/B算法预测值更接近真实值。 改进的S/B算法提高了预测值的准确性, 解决了传统S/B算法的非线性问题, 实现了更好的模型转移效果, 增强了网络化模型应用的通用性。
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. 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[J]. Spectroscopy and Spectral Analysis, 2017, 37(12): 3709.

关于本站 Cookie 的使用提示

中国光学期刊网使用基于 cookie 的技术来更好地为您提供各项服务,点击此处了解我们的隐私策略。 如您需继续使用本网站,请您授权我们使用本地 cookie 来保存部分信息。
全站搜索
您最值得信赖的光电行业旗舰网络服务平台!