TALABALARINING KO‘P FAKTORLI REYTING NATIJALARINI NEYRON TARMOQLARI ASOSIDA OPTIMALLASHTIRISH

Authors

  • Mardonov Dilmurod Raxmonovich
  • Yaxshiboyev Abror Maxmadiyorovich Samarqand davlat universitetining Urgut filiali

Keywords:

Kasbga yo‘naltirish, intellektual modellar, og‘irlik koeffitsiyenti, neyron tarmoq, ko‘p faktorli reyting

Abstract

Ushbu maqolada ko‘p faktorli reyting asosida talabalar reytingini shakllantirilib uni optimallshtirishni neyron tarmoqlari asosida amalga oshirish keltirilgan.

References

1. Аkhаtov A., Mardonov D., Nazarov F. Methods of automation of the employment process on the basis of ratings. // International conference on information science and communications technologies. 4,5,6 November. ICISCT 2020(IEEE), art. no. 20486736. SCOPUS.

2. Axatov A., Mardonov D., Nazarov F. Modeling the relationship of the processes of determining the ratings and knowledge on the basis of digital technologies. Vestnik TUIT.Tashkent. № 3 (10) .2020.52-58.p.

3. Mardonov D.R., Nazarov F.M, Esanov O. Reyting asosida bandlik munosabatlarini optimallashtish jarayonini avtomatlashtirish “Innovatsion yondashuvlar ilm-fan taraqqiyoti kaliti sifatida: yechimlar va istiqbollar” mavzusidagi Respublika ilmiy-amaliy konferensiyasi maqolalar to‘plami. –O‘zMUJF. 2020. 8-10 oktabr 2020 yil. [298-301] b.

4. Лыткина, Л.И. Системы искусственного интеллекта: учеб. пособие [Текст] / Л.И. Лыткина, А.В. Саяпин - Красноярск, СибГАУ, 2004. - 93 с.

5. Тархов, Д. А. Нейронные сети. Модели и алгоритмы: справочник / Д.А. Тархов. – М.: Радиотехника, 2005.

6. An empirical study of software entropy based bug prediction using machine learning Kaur, A., Kaur, K., Chopra, D. 2017 International Journal of Systems Assurance Engineering and Management 8, pp.

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Published

2024-11-25

How to Cite

TALABALARINING KO‘P FAKTORLI REYTING NATIJALARINI NEYRON TARMOQLARI ASOSIDA OPTIMALLASHTIRISH. (2024). Journal of Academic Research and Trends in Educational Sciences, 316-318. https://ijournal.uz/index.php/jartes/article/view/1641

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