Рақамли технологияларнинг назарий ва амалий масалалари Volume 7 Issue 1 (2024) · pp. 94-101

Recognition Operators Extential Type Based on the Construction of Threshold Functions

Mirzayev, N.M.

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Abstract

The article examines the problems of constructing a model of recognition operators in conditions of a large dimension of the feature space. To solve this problem, an original approach based on local decision-making is proposed. Based on the proposed approach, a model of recognition operators of extensional type has been developed, based on the construction of local threshold functions. A parametric representation of the proposed recognition operators is given. The developed recognition operators can improve recognition accuracy and expand the range of practical problems solved using recognition algorithms.

pattern recognitionrecognition operatorrepresentative featuressubset of objectsthreshold functionbasic recognition operatorpreferred recognition operatortimsollarni tanib olishtanib olish operatorireprezentativ belgilar

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Cite

APA 7
Mirzayev, N.M. (2024). Recognition Operators Extential Type Based on the Construction of Threshold Functions. Рақамли технологияларнинг назарий ва амалий масалалари, 7(1), 94-101.
GOST R 7.0.5
Mirzayev, N.M. Recognition Operators Extential Type Based on the Construction of Threshold Functions // Рақамли технологияларнинг назарий ва амалий масалалари. 2024. Т. 7. № 1. С. 94-101.
BibTeX
@article{n.m.2024,
  author  = {Mirzayev, N.M.},
  title   = {Recognition Operators Extential Type Based on the Construction of Threshold Functions},
  journal = {Рақамли технологияларнинг назарий ва амалий масалалари},
  year    = {2024},
  volume  = {7},
  number  = {1},
  pages   = {94-101}
}
RIS
TY  - JOUR
AU  - Mirzayev, N.M.
TI  - Recognition Operators Extential Type Based on the Construction of Threshold Functions
JO  - Рақамли технологияларнинг назарий ва амалий масалалари
PY  - 2024
VL  - 7
IS  - 1
SP  - 94
EP  - 101
ER  -