Partial least squares–slice transform hybrid model for nonlinear calibration

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	Partial least squares–slice transform hybrid model for nonlinear calibration
	Peng Shan; Silong Peng; Yiming Bi; Liang Tang; Qiong Xie
发表期刊	Chemometrics and Intelligent Laboratory Systems
	2014
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	Partial Least Squares Slice Transform
文献类型	期刊论文
条目标识符	http://ir.ia.ac.cn/handle/173211/15505
专题	智能制造技术与系统研究中心_多维数据分析（彭思龙）-技术团队
推荐引用方式 GB/T 7714	Peng Shan,Silong Peng,Yiming Bi,等. 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,Yiming Bi,Liang Tang,&Qiong Xie.(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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