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Architectures of artificial neural networks for predicting shelf-life of oil-in-water emulsion
https://doi.org/10.17632/wmx3gwj574.3
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This data includes information on structures of 6 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.
Varuzhan Sarkisyan
Irina Glazkova
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December 1, 2016
via DataCite
Dataset published 2016 in
Mendeley Data
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