Prediction of Rheological Properties of Multi-Component Dispersions by Using Artificial Neural Networks

Journal of Dispersion Science and Technology

Volumn 35, Issue 3, 2014, Pages 428-434

  Samavati, Vahid ^a   Emam Djomeh, Zahra ^a   Omid, Mahmoud ^a  

^a UNIVERSITY OF TEHRAN   (Iran)

Author keywords

Artificial neural network; multi component food model; prediction; rheological properties

Indexed keywords

FORECASTING; NEURAL NETWORKS; OLEIC ACID; QUALITY CONTROL;

ASTRAGALUS GOSSYPINUS; CHEMICAL COMPOSITIONS; FOOD MODELING; PRODUCT QUALITY CONTROL; RHEOLOGICAL EXPERIMENT; RHEOLOGICAL PARAMETER; RHEOLOGICAL PROPERTY; WHEY PROTEIN ISOLATE;

RHEOLOGY;

EID: 84975853284     PISSN: 01932691     EISSN: 15322351     Source Type: Journal    
DOI: 10.1080/01932691.2013.794423     Document Type: Article

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