典型文献
A novel NIRS modelling method with OPLS-SPA and MIX-PLS for timber evaluation
文献摘要：
The identification of timber properties is impor-tant for safe application.Near Infrared Spectroscopy (NIRS)technology is widely-used because of its simplicity,effi-ciency,and positive environmental attributes.However,in its application,weak signals are extracted from complex,overlapping and changing information.This study focused on the stability of NIR modeling.The Orthogonal Partial Least Squares(OPLS) and Successive Projections Algorithm(SPA) eliminates noise and extracts effective spectra,and an ensemble learning method MIX-PLS,is applied to estab-lish the model.The elastic modulus of timber is taken as an example,and 201 wood samples of three species,Xylosma-congesta (Lour.) Merr.,Acerpictum subsp.mono,and Betula pendula,samples were divided into three groups to inves-tigate modelling performance.The results show that OPLS can preprocess the near-infrared spectroscopy information according to the target object in the face of the system error and reduce errors to minimum.SPA finally selects 13 spec-tral bands,simplifies the NIR spectral data and improves model accuracy.The Pearson's correlation coefficient of Calibration (Rc) and the Pearson's correlation coefficient of Prediction (Rp) of Mix Partial Least Squares (MIX-PLS)were 0.95 and 0.90,and Root Mean Square Error of Calibra-tion (RMSEC) and Root Mean Square Error of Prediction(RMSEP) are 2.075 and 6.001,respectively,which shows the model has good generalization abilities.
文献关键词：
中图分类号：
作者姓名：
Jinhao Chen;Huilig Yu;Dapeng Jiang;Yizhuo Zhang;Keqi Wang
作者机构：
College of Mechanical and Electrical Engineering,Northeast Forestry University,Harbin 150040,People's Republic of China;College of Information and Computer Engineering,Northeast Forestry University,Harbin 150040,People's Republic of China
文献出处：
引用格式：
[1]Jinhao Chen;Huilig Yu;Dapeng Jiang;Yizhuo Zhang;Keqi Wang-.A novel NIRS modelling method with OPLS-SPA and MIX-PLS for timber evaluation)[J].林业研究（英文版）,2022(01):369-376
A类：
Xylosma,congesta,Acerpictum,Calibra
B类：
novel,NIRS,modelling,method,OPLS,SPA,MIX,timber,evaluation,identification,properties,impor,tant,safe,application,Near,Infrared,Spectroscopy,technology,widely,because,its,simplicity,ciency,positive,environmental,attributes,However,weak,signals,extracted,from,complex,overlapping,changing,information,This,study,focused,stability,modeling,Orthogonal,Partial,Least,Squares,Successive,Projections,Algorithm,eliminates,noise,extracts,effective,ensemble,learning,applied,estab,lish,elastic,modulus,taken,example,wood,samples,three,species,Lour,Merr,subsp,mono,Betula,pendula,were,divided,into,groups,inves,tigate,performance,results,that,can,preprocess,near,infrared,spectroscopy,according,target,object,face,system,reduce,errors,minimum,finally,selects,bands,simplifies,spectral,data,improves,accuracy,correlation,coefficient,Calibration,Rc,Prediction,Rp,Mix,Root,Mean,Error,RMSEC,RMSEP,respectively,which,shows,has,good,generalization,abilities
AB值：
0.60842
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