Assessment compliance of qualitative food characteristics to standard requirements

Abstract

The goal of the research was to develop a method for assessing the quality of food products on the basis of the results of the study of the chemical and amino acid composition, and characteristics of the raw materials used. For identification of the results the cluster analysis is used. It proved the effects of the models of mathematical prediction using the technology "artificial intelligence" for effective identification of compliance with the regulatory requirements of meat products