Bayesian Regularized Neural Network for Prediction of the Dose in Gamma Irradiated Milk Products
Autor: | M. Doneva, S. Dyankova, Yancho Todorov, Margarita Terziyska, I. Nacheva, P. Metodieva, D. Miteva |
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Jazyk: | angličtina |
Rok vydání: | 2020 |
Předmět: |
0106 biological sciences
Bayesian neural network General Computer Science Computer science Bayesian probability Milk allergy Machine learning computer.software_genre Bayesian neural networks 01 natural sciences 0404 agricultural biotechnology fluids and secretions Milk products 010608 biotechnology medicine protein fraction Artificial neural network business.industry food and beverages Irradiated milk 04 agricultural and veterinary sciences medicine.disease milk products milk allergy 040401 food science Artificial intelligence business computer |
Zdroj: | Terziyska, M, Todorov, Y, Miteva, D, Doneva, M, Dyankova, S, Metodieva, P & Nacheva, I 2020, ' Bayesian Regularized Neural Network for Prediction of the Dose in Gamma Irradiated Milk Products ', Cybernetics and Information Technologies, vol. 20, no. 2, pp. 141-151 . https://doi.org/10.2478/cait-2020-0022 |
ISSN: | 1314-4081 1311-9702 |
DOI: | 10.2478/cait-2020-0022 |
Popis: | Gamma irradiation is a well-known method for sterilizing different foodstuffs, including fresh cow milk. Many studies witness that the low dose irradiation of milk and milk products affects the fractions of the milk protein, thus reducing its allergenic effect and make it potentially appropriate for people with milk allergy. The purpose of this study is to evaluate the relationship between the gamma radiation dose and size of the protein fractions, as potential approach to decrease the allergenic effect of the milk. In this paper, an approach for prediction of the dose in gamma irradiated products by using a Bayesian regularized neural network as a mean to save recourses for expensive electrophoretic experiments, is developed. The efficiency of the proposed neural network model is proved on data for two dairy products – lyophilized cow milk and curd. |
Databáze: | OpenAIRE |
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