Multiple Self Organising Maps (mSOMs) for simultaneous classification and prediction: Illustrated by spoilage in apples using volatile organic profiles

Chemometrics and Intelligent Laboratory Systems

Volumn 109, Issue 1, 2011, Pages 57-64

  Sim, Siong Fong ^a   Sági Kiss, Virág ^b  

^a UNIVERSITI MALAYSIA SARAWAK   (Malaysia)

^b Institute of Entrepreneurship and Innovation   (Hungary)

Author keywords

Apple spoilage; Growing SOMs; Multiple SOMs; Simultaneous classification and prediction; Volatile organic compounds

Indexed keywords

VOLATILE ORGANIC COMPOUND;

ANALYTICAL ERROR; APPLE; ARTICLE; ARTIFICIAL NEURAL NETWORK; CALCULATION; CLASSIFICATION ALGORITHM; CLUSTER ANALYSIS; CONTROLLED STUDY; FOOD SPOILAGE; INOCULATION; MASS FRAGMENTOGRAPHY; MATHEMATICAL COMPUTING; MULTIPLE SELF ORGANISING MAP; PREDICTION; PRIORITY JOURNAL; PROCESS OPTIMIZATION; QUALITATIVE ANALYSIS; QUANTITATIVE ANALYSIS; VALIDATION PROCESS;

EID: 80053654720     PISSN: 01697439     EISSN: 18733239     Source Type: Journal    
DOI: 10.1016/j.chemolab.2011.08.001     Document Type: Article

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