In-silico prediction of sweetness of sugars and sweeteners

Food Chemistry

Volumn 128, Issue 3, 2011, Pages 653-658

  Yang, Xiaoying ^a   Chong, Yang ^a   Yan, Aixia ^a   Chen, Jinchun ^a  

^a BEIJING UNIVERSITY OF CHEMICAL TECHNOLOGY   (China)

Author keywords

Artificial Neural Network (ANN); Kohonen's Self Organising Neural Network (KohNN); Multi Linear Regression (MLR); Quantitative Structure Activity Relationship (QSAR); Support Vector Machine (SVM); Sweetness

Indexed keywords

ARTIFICIAL NEURAL NETWORK; KOHONEN; MULTI-LINEAR REGRESSION; QUANTITATIVE STRUCTURE-ACTIVITY RELATIONSHIPS; SWEETNESS;

COMPUTATIONAL CHEMISTRY; FOOD ADDITIVES; LINEAR REGRESSION; STATISTICAL TESTS; SUGARS; SUPPORT VECTOR MACHINES;

NEURAL NETWORKS;

SWEETENING AGENT;

ARTICLE; FOOD ANALYSIS; MATHEMATICAL COMPUTING; SWEETNESS; TASTE PREFERENCE;

EID: 79955635230     PISSN: 03088146     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.foodchem.2011.03.081     Document Type: Article

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