Using neural network technologies to assess the quality characteristics of food

Abstract

A method for assessing the recipe composition of multicomponent food products (for example, meat products) based on the results of studying the chemical and amino acid compositions of final products has been developed. The proposed method is based on the use of artificial intelligence to create a data array using neural networks and the assessment of compositions by cluster analysis of Kohonen networks-to determine the compliance of the recipe composition with the technical documentation indicators.