Scientific journal NRU ITMO
Series "Economics and Environmental Management"
Registration certificate ЭЛ № ФС 77 – 55411 от 17.09.2013
registered by the Federal Inspectorate Service for Communication, Information Technologies and Communication Media
ISSN:2310-1172

June 2015 (published: 01.06.2015)

Number 2(21)

Home > Issue > The economic and analytical evaluation of the market foods with a balanced composition

UDC 664.684.6

The economic and analytical evaluation of the market foods with a balanced composition

Aret V.A., Alexeev G.V., Aksenova O.I. , Baychenko A.A.

The neural networks are successfully used in economics, business, engineering and physics. They can be used to solve the problems of prediction, classification and management, and generally, the problems of pattern recognition. The neural networks are non-linear in nature. The models do not work well in the problems where the linear approximation is not satisfactory. The neural networks learn by the examples. The user of neural network selects representative data, and then runs a learning algorithm which automatically accepts the data structure. Rather simple neural network, which is building the system, for example, ST Neural Networks or NeuroShell 2., is a powerful weapon in the arsenal of an expert in the applied statistics. From the named position in this article we consider the food market with  balanced formulas.
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Keywords: neural networks, food, pattern recognition.

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