Open AccessModel of Recognition Operators Based on the Formation of Representative Objects
Author(s) -
Stash A. Kh,
N Fazilov,
T Mirzaev,
K Nurmukhamedov,
Sayyora Ibragimova
Publication year - 2019
Publication title -
international journal of innovative technology and exploring engineering
Language(s) - English
Resource type - Journals
ISSN - 2278-3075
DOI - 10.35940/ijitee.a4592.119119
Subject(s) - computer science , feature (linguistics) , function (biology) , parametric statistics , selection (genetic algorithm) , artificial intelligence , pattern recognition (psychology) , space (punctuation) , parametric model , algorithm , theoretical computer science , mathematics , philosophy , linguistics , statistics , evolutionary biology , biology , operating system
Parametric representations of the model of recognition operators based on the selection of representative objects are considered. The main idea of the proposed model is to build a family of proximity functions in the parameter space. In this case, the proximity function is determined within the framework of the radial function. A distinctive feature of the proposed model is the formation of preferred features with respect to selected representative objects when constructing recognition operators. To verify the performance of the proposed model, experimental studies were carried out to solve the model problem.