BIOLOGIK OB‘YEKTLARNI IDENTIFIKATSIYALASHNING ALGEBRAIK KORREKTSIYALI QISMIY PRETSIDENTLIKKA ASOSLANGAN ADAPTIV TANIB OLISH ALGORITMLARI
Keywords:
Biologik ob‘yektlarni identifikatsiyalash, tanib olish algoritmi, texnologik jarayonlarni boshqarish, eksperimental baholash.Abstract
Biologik ob‘yektlarni identifikatsiyalashning algebraik korrektsiyali qismiy pretsidentlikka asoslangan adaptiv tanib olish algoritmlarini ishlash va imkoniyatlarini o‘rganish.
References
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