A SOM-based approach to estimating product properties from spectroscopic measurements

Neurocomputing

Volumn 73, Issue 1-3, 2009, Pages 71-79

  Corona, Francesco ^a   Liitiäinen, Elia ^a   Lendasse, Amaury ^a   Sassu, Lorenzo ^b   Melis, Stefano ^b   Baratti, Roberto ^c  

^a AALTO UNIVERSITY   (Finland)

^b Process Department   (Italy)

^c UNIVERSITY OF CAGLIARI   (Italy)

Author keywords

Chemometrics; Self organizing maps; Variable selection

Indexed keywords

ABSORBANCE SPECTRUM; CHEMOMETRICS; ESTIMATION MODELS; HIGH-DIMENSIONAL; INDUSTRIAL SETTINGS; INTERPRETABILITY; PRODUCT PROPERTY; REAL TIME MONITORING; REFINING INDUSTRY; REGRESSION MODEL; SOFT SENSORS; SOFTWARE SENSOR; SPECTRAL VARIABLES; SPECTROSCOPIC MEASUREMENTS; TOPOLOGICAL STRUCTURE; UNDERLYING SYSTEMS; VARIABLE SELECTION;

CONFORMAL MAPPING; REGRESSION ANALYSIS; SENSORS; STRENGTH OF MATERIALS; STRUCTURAL OPTIMIZATION;

SELF ORGANIZING MAPS;

ESCITALOPRAM; GASOLINE;

ACCURACY; ARTICLE; CHEMICAL COMPOSITION; CHEMOMETRICS; CONTROLLED STUDY; DRUG INDUSTRY; DRUG MANUFACTURE; INDUSTRIAL PRODUCTION; INFRARED SPECTROSCOPY; LIGHT ABSORPTION; OIL INDUSTRY; ONLINE MONITORING; PARTIAL LEAST SQUARES REGRESSION; PREDICTION; PRIORITY JOURNAL; PROCESS MONITORING; PROCESS OPTIMIZATION; SENSOR; SPECTROSCOPY; SUPPORT VECTOR MACHINE;

EID: 70350712150     PISSN: 09252312     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.neucom.2008.10.026     Document Type: Article

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