Food science applications and international trends of artificial neural networks

Nyitrai Ákos and Gere Attila and Sipos László: Food science applications and international trends of artificial neural networks. In: Élelmiszervizsgálati közlemények, (64) 3. pp. 2154-2163. (2018)

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Abstract

Recently, research has been focusing increasingly on the system of artificial neural networks, and its results are used in many places by industrial practices. The success of these networks lies in their ability to recognize the complex relationships and patterns in data, as well as to predict unknown samples, thus enabling value and category predictions with high certainty. Artificial neural networks are very efficient tools for modeling non-linear trends within data. In many cases, they perform well where traditional statistical tools provide unsatisfactory results or unable to solve a given research problem. In our work, the operation principle and structure (topol-ogy) of artificial neural networks are summarized, as well as the classification and application possibilities of the networks. The latest food science applications are presented separately, based on the usage type (prediction, classification, optimiza-tion). Results show that artificial neural networks possess many beneficial properties, making them especially suitable for solving food science tasks.

Item Type: Article
Other title: Mesterséges neurális hálózatok élelmiszertudományi alkalmazásai és nemzetközi trendjei
Heading title: Tudomány = Science
Journal or Publication Title: Élelmiszervizsgálati közlemények
Date: 2018
Volume: 64
Number: 3
ISSN: 0422-9576
Page Range: pp. 2154-2163
Language: English
Publisher: WESSLING Nemzetközi Kutató és Oktató Központ Közhasznú Nonprofit Kft.
Place of Publication: Budapest
Related URLs: http://acta.bibl.u-szeged.hu/79006/
Uncontrolled Keywords: Élelmiszertudomány
Additional Information: Bibliogr.: p. 2161-2163. ; összefoglalás angol nyelven
Subjects: 02. Engineering and technology
02. Engineering and technology > 02.10. Other engineering and technologies
02. Engineering and technology > 02.10. Other engineering and technologies > 02.10.02. Food and beverages
Date Deposited: 2023. Jul. 10. 14:12
Last Modified: 2023. Aug. 26. 08:14
URI: http://acta.bibl.u-szeged.hu/id/eprint/79235

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