Partial least squares–slice transform hybrid model for nonlinear calibration
Peng Shan; Silong Peng
2014
发表期刊Chemometrics and Intelligent Laboratory Systems
期号138页码:72-83
其他摘要A hybrid model (herein referred to as PLS-SLT) founded on partial least squares (PLS) and slice transform(SLT) is proposed to model nonlinear chemical systems with a wide range of response variable. In the modeling process, PLS predicted values of calibration set were taken as inputs for the subsequent SLT to further approximate to observed values by a least square criterion. The estimated optimal piecewise linear mapping function was then applied to test set to give the final prediction result. Theoretically, PLS-SLT can be proven to be equivalent to
the PLS-based piecewise linear model in the y-space. PLS-SLT is comparedwith PLS and other calibration models on twospectral datasets. The Wilcoxon signed rank test is used to statistically compare predictive performance of two competing calibration models. Experimental results show that the performance of PLS-SLT is at least statistically not worse than PLS and other models.
关键词Slice Transform Partial Least Squares Slice Transform
文献类型期刊论文
条目标识符http://ir.ia.ac.cn/handle/173211/19656
专题智能制造技术与系统研究中心_多维数据分析
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Peng Shan,Silong Peng. Partial least squares–slice transform hybrid model for nonlinear calibration[J]. Chemometrics and Intelligent Laboratory Systems,2014(138):72-83.
APA Peng Shan,&Silong Peng.(2014).Partial least squares–slice transform hybrid model for nonlinear calibration.Chemometrics and Intelligent Laboratory Systems(138),72-83.
MLA Peng Shan,et al."Partial least squares–slice transform hybrid model for nonlinear calibration".Chemometrics and Intelligent Laboratory Systems .138(2014):72-83.
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