2-Sho‘ba: Sun‘iy intellekt texnologiyalarining matematika, kimyo, biologiyaning amaliy masalalarini yechishdagi o‘rni va ahamiyati

2-Sho‘ba: Sun‘iy intellekt texnologiyalarining matematika, kimyo, biologiyaning amaliy masalalariniyechishdagi o'rni va ahamiyati.
интерполяционных сплайнов 3 и 5 порядков, нейронные сети (НС) Хебба с алгоритмом обучения с учителем, обучения без учителя и на основе двунаправленной ассоциативной сети (ДАП). В табл. 2 даны результаты сравнительного анализа эффективности ПК. Таблица 2. Результаты реализации моделей идентификации микрообъектов

Модели	Корректное распознавание	Некорректное распознавание	Отвергаемости
Сплайн Добеши	84,6%	10,5%	4,9%
Кубический сплайн	83,7%	11,15%	5,15%
Трехслойная НС	78,8%	16,075 %	5,125%
НС Хебба с обучением	80,2%	14,1%	5,7%
без учителя
ДАП	84%	10,825%	5,175%

Литература

1. 
   Jumanov, I.I., Djumanov, O.I., Safarov, R.A. Optimization of identification of images of
   

micro-objects taking into account systematic error based on neural networks // International Russian Automation Conference, RusAutoCon 2020, 2020, pp. 626-631, 9208164.

2. 
   Jumanov, I.I., Djumanov, O.I., Safarov, R.A. Mechanisms for optimizing the error
   

control of micro-object images based on hybrid neural network models // AIP Conference Proceedings, 2021, 2402, 030018.

3. 
   I.I. Jumanov, O.I.Djumanov, R.A.Safarov. Recognition of micro-objects with adaptive
   

models of image processing in a parallel computing environment // XIV International Scientific and Technical Conference "Applied Mechanics and Systems Dynamics" (AMSD) // Journal of Physics: Conference Series, Vol. 1791. November 2020, Omsk, Russian Federation.

4. 
   Ibragimovich, J.I., Isroilovich, D.O., Abdullayevich, S.R. Optimization of identification
   

of micro-objects based on the use of characteristics of images and properties of models // 2020 International Conference on Information Science and Communications Technologies, ICISCT 2020, 2020, 9351483.

5. 
   Ibragimovich, J.I., Isroilovich, D.O., Abdullayevich, S.R. Recognition and Classification
   

of Pollen Grains Based on the Use of Statistical, Dynamic Image Characteristics, and Unique Properties of Neural Networks // Advances in Intelligent Systems and Computing, 2021, 1323 AISC, pp. 170-179.
KONBINATORIKA MASALARINI YECHISHDA SUN’IY INTELLEKTDAN
FOYDALANISH
Rajabov Suxrob Xudoyberdiyevich
Samarqand davlat universitetining Kattaqo‘rg‘on filiali dotsenti
Xudoyberdiyev Shodiyor Mamatillayevich
Turdimurodov Otabek Farxod o‘g‘li
Samarqand davlat universitetining Kattaqo‘rg‘on filiali asisstentlari
Jonzoqov Javohir Nasrulloyeva Rayhona.
Samarqand davlat universitetining Kattaqo‘rg‘on filiali talabasi
Annotatsiya. Sun’iy intellekt (SI) texnologiyalari matematik amaliy muammolarni hal qilish uchun kuchli vosita sifatida paydo bo‘ldi. Murakkab matematik muammolarni hal qilish va haqiqiy muammolarni hal qilishda SI texnologiyalarining roli va ahamiyatini o‘rganadi. Bundan tashqari, sun’iy intellekt matematika ta‘limini o'zgartirib, uni shaxsiylashtirilgan o'rganish tajribasi orqali yanada qulayroq va qiziqarli qildi. Biroq shaffoflik va adolat kabi axloqiy me’yorlar sun’iy intellekt texnologiyalarini ishlab chiqish va joriy etishda rahbarlik qilishi kerak.