BIOLOGIK OB‘YEKTLARNI IDENTIFIKATSIYALASHNING ALGEBRAIK KORREKTSIYALI QISMIY PRETSIDENTLIKKA ASOSLANGAN ADAPTIV TANIB OLISH ALGORITMLARI

BIOLOGIK OB‘YEKTLARNI IDENTIFIKATSIYALASHNING ALGEBRAIK KORREKTSIYALI QISMIY PRETSIDENTLIKKA ASOSLANGAN ADAPTIV TANIB OLISH ALGORITMLARI

Авторы

  • A. B.Xurramov
  • D. Shukurov
  • Z .Abdiraimova

Ключевые слова:

Biologik ob‘yektlarni identifikatsiyalash, tanib olish algoritmi, texnologik jarayonlarni boshqarish, eksperimental baholash.

Аннотация

Biologik ob‘yektlarni identifikatsiyalashning algebraik  korrektsiyali qismiy pretsidentlikka asoslangan adaptiv tanib olish algoritmlarini ishlash va imkoniyatlarini o‘rganish.

Библиографические ссылки

Yu.I.Zhuravlev, V.V.Ryazanov, O.V.Senko, Recognition, Mathematical methods. Software system. Practical

applications. Moscow:FAZIS, 2006. 176 p. (in Russian).

M.Kamilov, M.Hudayberdiev, A.Khamroev, “Algorithm for the Development of a Training Set that Best Describes the

Objects of Recognition”, Procedia Computer Science, no. 150, pp. 116-122, 2019.

https://doi.org/10.1016/j.procs.2019.02.024.

M.Hudayberdiev, “Formation of relative structures of information-identification models for insecta orthoptera bio

object”, Descendants of Mohammed Al-Khwarizmi. Scientific-practical amd information-analitical journal, vol. 4(10),

pp. 31-36, 2019.

Alisher Khamroev, “An algorithm for constructing feature relations between the classes in the training set”, Procedia

Computer Science, vol. 103, 2017, pр. 244-247. http://dx.doi.org/10.1016/j.procs.2017.01.094.

M.Kh.Hudayberdiev, A.R.Akhatov, A.Sh.Hamroev, “On a Model of Forming the Optimal Parameters of the Recognition

Algorithms”, International journal of KIMICS, vol. 9, no. 5, 2011, pp. 607-609

Загрузки

Опубликован

2023-11-12

Выпуск

Раздел

Статьи
Loading...