NIR-based quantification of process parameters in polyetheracrylat (PEA) production using flexible non-linear fuzzy systems

Chemometrics and Intelligent Laboratory Systems

Volumn 109, Issue 1, 2011, Pages 22-33

  Cernuda, Carlos ^a   Lughofer, Edwin ^a   Marzinger Wolfgang W ^b   Kasberger, Jürgen ^c  

^a JOHANNES KEPLER UNIVERSITY LINZ   (Austria)

^b I RED Infrarot Systeme GmbH   (Austria)

^c Research Center for Non Destructive Testing GmbH (RECENDT)   (Austria)

Author keywords

Chemometric quantification models; Evolving clustering method; Local linear predictors; NIR spectroscopy; PEA production; Takagi Sugeno fuzzy systems; Wavelength reduction

Indexed keywords

POLYETHER DERIVATIVE; POLYETHERACRYLAT; UNCLASSIFIED DRUG;

ANALYTICAL ERROR; ARTICLE; CALIBRATION; CHEMOMETRIC ANALYSIS; CLUSTER ANALYSIS; CONTROLLED STUDY; FUZZY SYSTEM; INFRARED SPECTROSCOPY; LEARNING ALGORITHM; LIMIT OF QUANTITATION; MATHEMATICAL COMPUTING; MATHEMATICAL MODEL; MATHEMATICAL PARAMETERS; NONLINEAR SYSTEM; PRIORITY JOURNAL; PROCESS MONITORING; SPECTRAL SENSITIVITY; VALIDATION PROCESS;

EID: 80053629374     PISSN: 01697439     EISSN: 18733239     Source Type: Journal    
DOI: 10.1016/j.chemolab.2011.07.004     Document Type: Article

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