Supervised pattern recognition applied to the discrimination of the floral origin of six types of Italian honey samples

Analytica Chimica Acta

Volumn 515, Issue 1, 2004, Pages 117-125

  Marini, F ^a   Magri A L ^a   Balestrieri, F ^b   Fabretti, F ^c   Marini, D ^c  

^a SAPIENZA UNIVERSITY OF ROME   (Italy)

^b UNIVERSITY OF PERUGIA   (Italy)

^c Agenzia Delle Dogane   (Italy)

Author keywords

Chemometrics; Class modeling; Floral origin; Honey; Linear Discriminant Analysis; UNEQ

Indexed keywords

MATHEMATICAL MODELS; PATTERN RECOGNITION; SENSITIVITY ANALYSIS;

CHEMOMETRY; HONEY; VARIABLES;

CHEMICAL ANALYSIS;

ANALYTIC METHOD; CHEMOMETRICS; CHESTNUT; CONFERENCE PAPER; DISCRIMINANT ANALYSIS; EUCALYPTUS; EVALUATION; FLOWER; HONEY; ITALY; LINEAR DISCRIMINANT ANALYSIS; PREDICTION; PRIORITY JOURNAL; SAMPLING; VALIDATION PROCESS;

CALLUNA; EUCALYPTUS; HEDYSARUM CORONARIUM; MARTES PENNANTI;

EID: 2942735119     PISSN: 00032670     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.aca.2004.01.013     Document Type: Conference Paper

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