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

Sarkisyan, Varuzhan

Description

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.

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Metrics

Dataset Index

0.3

FAIR Score

65%

Citations

Mentions

Metrics Over Time

Publication Details

DOI

10.17632/wmx3gwj574.3

Publisher

Mendeley

License

Attribution-NonCommercial 3.0 Unported

Assigned Domain

Subfield

Analytical Chemistry

Field

Chemistry

Domain

Physical Sciences

Confidence Score

69%

Source

Open Alex

Keywords

Food ScienceArtificial Neural NetworksLipid OxidationFood EmulsionShelf Life of Foods

Normalization Factors

84.62

CTw

1.00

MTw

1.00