Artificial Neural Networks for Predicting Food Antiradical Potential

Using an artificial neural network (ANN), the values of the antiradical potential of 1315 items of food and agricultural raw materials were calculated. We used an ANN with the structure of a “multilayer perceptron” (MLP) and with the hyberbolic tangent (Tanh) as an activation function. Values report...

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Bibliographic Details
Published in:Applied Sciences
Main Authors: Victor Gorbachev, Marina Nikitina, Daria Velina, Sherzodkhon Mutallibzoda, Vladimir Nosov, Galina Korneva, Anna Terekhova, Elena Artemova, Bella Khashir, Igor Sokolov, Svetlana Dimitrieva, Igor Nikitin
Format: Article
Language:English
Published: MDPI AG 2022-06-01
Subjects:
antiradical activity
DPPH (2,2-diphenyl-1-picrylhydrazyl)
bread
confectionery
milk
eggs
Online Access:https://www.mdpi.com/2076-3417/12/12/6290

Internet

https://www.mdpi.com/2076-3417/12/12/6290

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