@article{Fazilov_Mirzaev_Mirzaev_2015, title={BUILDING OF RECOGNITION OPERATORS IN CONDITION OF FEATURES’ CORRELATIONS}, url={http://ric.zntu.edu.ua/article/view/66502}, DOI={10.15588/1607-3274-2016-1-7}, abstractNote={The problem of recognizing of patterns given in the space of correlated features is considered. The new approach to the building of model<br />of recognition operators, which considers the correlation of given features, is proposed. The building of the model is carried out for potential<br />function type recognition operators. The main idea of the proposed approach is formation of uncorrelated subsets of strongly correlated<br />features and extracting preferred correlation model for each of subsets of strongly correlated features. Analysis of the results shows that the<br />considered recognition operators are used in cases when there is a certain correlation between objects belonging to the same class. When the<br />expression of this relationship is weak, classical model of recognition operators is used. The main advantage of the proposed recognition<br />operators is to improve the accuracy and the significant reduction in the volume of computational operations in recognition of unknown<br />objects, which allows them to use when building recognition systems working in real time.}, number={1}, journal={Radio Electronics, Computer Science, Control}, author={Fazilov, Sh. Kh. and Mirzaev, N. M. and Mirzaev, O. N.}, year={2015}, month={Dec.} }