Abstract
An intelligent system is proposed to support decision-making to determine the presence of falsification in meat products based on histological studies. The tasks that must be solved for its development are formulated. The system architecture for the implementation of the formulated tasks is proposed. It includes, in particular, the expert subsystem and the decision support subsystem. Formalization of knowledge for making a decision about the presence of counterfeit is carried out on the basis of production rules. They are generated based on information contained in morphological tables. The development of a prototype ES is carried out in the programming language of artificial intelligence Prolog. The results of optimizing the approximation of a polychrome image of slices of meat products are described. A method for solving it based on a genetic algorithm is proposed. A program was developed in the C++ programming language, using which a complex of computational experiments was carried out to study the nature of the dependence of the convergence of the optimization process. Various parameters varied: the maximum number of iterations, the choice of the initial population. Further studies in this direction are related to the implementation of all the necessary image processing algorithms to automatically identify the required values of the characteristics of the image fragments for use in the cyber-physical system of automation of the process of identifying falsified meat products.
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Bolshakov, A., Nikitina, M., Kalimullina, R. (2021). Intelligent System for Determining the Presence of Falsification in Meat Products Based on Histological Methods. In: Kravets, A.G., Bolshakov, A.A., Shcherbakov, M. (eds) Society 5.0: Cyberspace for Advanced Human-Centered Society. Studies in Systems, Decision and Control, vol 333. Springer, Cham. https://doi.org/10.1007/978-3-030-63563-3_15
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