Construction of the model of recognition operators in the large dimensional feature space

In this paper, the problem of constructing a modified model of recognition operators based on potential functions is considered. The main advantage of the proposed recognition operators is the improvement of accuracy and a significant reduction in the amount of computational operations for the recognition of unknown objects, which makes it possible to apply them in the construction of real-time recognition systems. To test the efficiency of the proposed model, experimental research was carried out to solve the generated model problem and the problem of face recognition.