CLASSIFICATION AND TRAINING SAMPLE IN THE PHASE OF INFORMATIVE SIGNS ALGORITHM FOR DETERMINING THE IMPORTANCE OF CLASSES

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Issue: Vol. 5 No. 6 : Eurasian Journal of Mathematical Theory and Computer Sciences
Section: Articles
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t.f.b.f.d. PhD, Zooinjeneriya fakulteti, Axborot texnologiyalari, matematika, fizika va kimyo kafedrasi mudiri Qoraqalpog’iston qishloq xo’jaligi va agrotexnologiyalar instituti
info@in-academy.uz
Zooinjeneriya fakulteti, Axborot texnologiyalari, matematika, fizika va kimyo kafedrasi stajyor-o’qituvchisi, Qoraqalpog’iston qishloq xo’jaligi va agrotexnologiyalar instituti
info@in-academy.uz

Abstract:

The article proposes a method and algorithm for constructing an informative phase, which is one of the most important issues of symbol recognition. All the concepts related to the problems of symbol recognition have been attempted to be expressed in a logical perfection, mathematical clarity and simplicity. The main issue of classification of symbols⁇, the formation of the phase of informative signs, the determination of the levels of importance of the objects and symbols of the study sample were thoroughly analyzed. The Fisher functional elements used to determine the values of the proximity function in the informative signs phase Upper and lower bounds of the similarity function between objects are identified and supporting data is provided.

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How to Cite:

Beglerbekov , R., & Xudaybergenova, G. (2025). CLASSIFICATION AND TRAINING SAMPLE IN THE PHASE OF INFORMATIVE SIGNS ALGORITHM FOR DETERMINING THE IMPORTANCE OF CLASSES. Eurasian Journal of Mathematical Theory and Computer Sciences, 5(6), 36–45. Retrieved from https://in-academy.uz/index.php/EJMTCS/article/view/56365

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