A nonlinearized multivariate dominant factor-based partial least squares (PLS) model for coal analysis by using laser-induced breakdown spectroscopy

Applied Spectroscopy

Volumn 67, Issue 3, 2013, Pages 291-300

  Feng, Jie ^a   Wang, Zhe ^a   Li, Lizhi ^a   Li, Zheng ^a   Ni, Weidou ^a  

^a Tsinghua BP Clean Energy Center   (China)

Author keywords

Coal; Laser induced breakdown spectroscopy; LIBS; Partial least squares; Plasma; PLS; Quantitative measurement

Indexed keywords

LASERINDUCED BREAKDOWN SPECTROSCOPY (LIBS); LEAVE-ONE-OUT CROSS VALIDATIONS; LIBS; NUMBER OF PRINCIPAL COMPONENTS; PARTIAL LEAST SQUARES; PLS; QUANTITATIVE MEASUREMENT; ROOT-MEAN-SQUARE ERROR OF PREDICTIONS;

ATOMIC EMISSION SPECTROSCOPY; BITUMINOUS COAL; CALIBRATION; COAL; FORECASTING; LINEAR TRANSFORMATIONS; MATHEMATICAL TRANSFORMATIONS; MEAN SQUARE ERROR; PLASMAS; PRINCIPAL COMPONENT ANALYSIS;

FACTOR ANALYSIS;

EID: 84875419033     PISSN: 00037028     EISSN: 19433530     Source Type: Journal    
DOI: 10.1366/11-06393     Document Type: Article

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