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- W2384848897 abstract "In the near-infrared spectrum (NIR) quantitative analysis for propellant,the method of partial least squares is a good tool to establish the calibration model,but there are some problems,such as too much variables and variegated collinear of spectrum.A multivariate calibration modeling procedure called as interval and combination partial least square (icPLS) was applied to select the efficient spectral regions for building the flash point NIR model of aviation kerosene.The root mean square errors of prediction (RMSEP) and correlation coefficients (R2) of icPLS and whole spectral partial least squares (PLS) were 1.08,0.808 8 and 1.6,0.738 1,respectively.The comparison of two methods indicates that the icPLS is more robust and credible than PLS.Furthermore,icPLS model can give more stable and accurate prediction results." @default.
- W2384848897 created "2016-06-24" @default.
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- W2384848897 date "2010-01-01" @default.
- W2384848897 modified "2023-09-23" @default.
- W2384848897 title "Application of Improved Partial Least Squares Method in Near-infrared Spectrum Analysis for Aviation Kerosene" @default.
- W2384848897 hasPublicationYear "2010" @default.
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