Naslov
Application of Artificial Neural Networks in the Food Engineering

Autori
Jurinjak Tušek, Ana ; Valinger, Davor ; Benković, Maja ; Gajdoš Kljusurić, Jasenka ; Jurina, Tamara

Vrsta, podvrsta i kategorija rada
Poglavlja u knjigama, znanstveni

Knjiga
A Comprehensive Guide to Neural Network Modeling

Urednik/ci
Skaar, Steffen

Izdavač
Nova Publishers

Grad
New York (NY)

Godina
2020

Raspon stranica
1-26

ISBN
978-1-53618-466-2

Ključne riječi
ANNs application ; food engineering ; prediction ; visualization

Sažetak
Artificial neural networks (ANNs) are of great interest because of their ability to solve problems connected to interpretation of results obtained by various analytical methods. These results sometimes differ from the ordinary form in term of vast number of results for one measurement. Examples of those results include Near Infrared Spectroscopy (NIRs) spectra or results that have to be in a specific interval. ANNs are composed of group of nonlinear regression and discrimination statistical methods and are often used for their ability of visualization and prediction which is based on their learned and trained knowledge. Use of ANNs has been widely studied since they correspond to computational systems that aim to imitate some properties of biological neurons. Basically, the ANN is a system which corresponds to human brain in term of neurons that are linked by synaptic connections. The neurons are divided into i) incoming ; which are stimulated by external environment, ii) internal or hidden neurons and iii) output neurons ; which provide communication to the outside system. There are a lot of advantages of ANNs such as: use for nonlinear and non- parametric modeling, stability (with enough data) and high noise tolerance. Due to their characteristics, ANNs have found wide areas of application, from finance and medicine, over geology and physics to food engineering. In this chapter, the application of ANNs in food engineering will be presented. According to available novel literature, ANNs have been used in food engineering for control, monitoring and modeling of industrial food processes. Furthermore, ANNs are used for recognition, detection, classification as well as for the search of patterns, prediction of on-line parameters, image processing and optimization. Why and how ANNs are applied is explained in this chapter using examples from food/beverage matrices.

Izvorni jezik
Engleski

Znanstvena područja
Biotehnologija, Prehrambena tehnologija

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