The identification of relationships between selected honey parameters by extracting the contribution of independent variables in a neural network model

European Food Research and Technology

Volumn 241, Issue 6, 2015, Pages 793-801

  Pentoś, Katarzyna ^a   Łuczycka, Deta ^a   Kapłon, Tomasz ^b  

^a WROC AW UNIVERSITY OF ENVIRONMENTAL AND LIFE SCIENCES   (Poland)

^b WROCLAW UNIVERSITY OF TECHNOLOGY   (Poland)

Author keywords

Honey; Impedance; MLP neural network; Sensitivity analysis; Variables contribution s methods

Indexed keywords

COMPLEX NETWORKS; ELECTRIC IMPEDANCE; FOOD PRODUCTS; GLUCOSE; QUALITY CONTROL; SENSITIVITY ANALYSIS;

ELECTRICAL PARAMETER; GEOGRAPHICAL ORIGINS; HONEY; INDEPENDENT VARIABLES; MLP NEURAL NETWORKS; NEURAL NETWORK MODEL; QUALITY DETERIORATIONS; S-METHOD;

PARAMETER ESTIMATION;

EID: 84942816457     PISSN: 14382377     EISSN: 14382385     Source Type: Journal    
DOI: 10.1007/s00217-015-2504-0     Document Type: Article

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