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June 2015 (published: 01.06.2015)
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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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