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Partial least squares-slice transform hybrid model for nonlinear calibration

文献类型：期刊论文

作者Shan, Peng1; Peng, Silong1; Bi, Yiming1; Tang, Liang1; Yang, Chixiao1; Xie, Qiong1; Li, Changwen2
刊名CHEMOMETRICS AND INTELLIGENT LABORATORY SYSTEMS
出版日期2014-11-15
卷号138页码:72-83
关键词Partial least squares Slice transform Piecewise linear mapping function Cross-validation
英文摘要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 compared with PLS and other calibration models on two spectral 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. (C) 2014 Elsevier B.V. All rights reserved.
WOS标题词Science & Technology ; Technology ; Physical Sciences
类目[WOS]Automation & Control Systems ; Chemistry, Analytical ; Computer Science, Artificial Intelligence ; Instruments & Instrumentation ; Mathematics, Interdisciplinary Applications ; Statistics & Probability
研究领域[WOS]Automation & Control Systems ; Chemistry ; Computer Science ; Instruments & Instrumentation ; Mathematics
关键词[WOS]LOCALLY WEIGHTED REGRESSION ; PLS-REGRESSION ; SPECTRA ; PREDICTION ; ALGORITHM
收录类别SCI
语种英语
WOS记录号WOS:000343961200009
源URL[http://ir.ia.ac.cn/handle/173211/2906]  
专题自动化研究所_智能制造技术与系统研究中心_多维数据分析团队
作者单位1.Chinese Acad Sci, Inst Automat, Beijing 100190, Peoples R China
2.Food Res Inst, Tasly Grp, Tianjin 300410, Peoples R China
推荐引用方式
GB/T 7714		 Shan, Peng,Peng, Silong,Bi, Yiming,et al. Partial least squares-slice transform hybrid model for nonlinear calibration[J]. CHEMOMETRICS AND INTELLIGENT LABORATORY SYSTEMS,2014,138:72-83.
APA Shan, Peng.,Peng, Silong.,Bi, Yiming.,Tang, Liang.,Yang, Chixiao.,...&Li, Changwen.(2014).Partial least squares-slice transform hybrid model for nonlinear calibration.CHEMOMETRICS AND INTELLIGENT LABORATORY SYSTEMS,138,72-83.
MLA Shan, Peng,et al."Partial least squares-slice transform hybrid model for nonlinear calibration".CHEMOMETRICS AND INTELLIGENT LABORATORY SYSTEMS 138(2014):72-83.

入库方式： OAI收割

来源：自动化研究所

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