Architectures of artificial neural networks for predicting shelf-life of oil-in-water emulsion

Sarkisyan, Varuzhan

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Título:
Architectures of artificial neural networks for predicting shelf-life of oil-in-water emulsion
Autor: Sarkisyan, Varuzhan
Assuntos: Artificial Neural Networks ; Food Emulsion ; Food Science ; Lipid Oxidation ; Shelf Life of Foods
Descrição: This data includes information on structures of 3 artificial neural networks aimed to analyze data from the shelf-life testing experiment and predict the changes in peroxide value, creaming index and total sensory value during the period of storage.
Editor: Mendeley
Data de criação/publicação: 2016
Idioma: Inglês

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