Determination of diesel cetane number by consensus modeling based on uninformative variable elimination
作者： Li Yan-kun
DOI: 10.1039/C1AY05525A
关键词:
摘要: Consensus modeling based on improved Boosting algorithm (Boosting-PLS, BPLS) combined with wavelength (variable) selection by MC-UVE (Monte Carlo-Uninformative Variable Elimination) method is applied to determination of cetane number (CN) diesel. firstly used select characteristic variables from Near-infrared (NIR) spectra diesel principles MC simulation and UVE, then the selected instead full are for BPLS predict results. From predicted results, proposed MC-UVE-BPLS improves performance conventional linear PLS in terms accuracy robustness, so it more efficient parsimonious few numbers useful when relationship between CN NIR spectra. Simultaneously, prediction results compared those MC-UVE-PLS, CPLS (Consensus Bagging) show that superior other models, also verifies efficiency BPLS. So provides a new approach
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