NEYRON TO’RLARI VA KLASTERLI TAHLILNI ALGORITMLASH VA MODELLASHTIRISH
Keywords:
Kalit so‘zlar: neyron tarmoqlar, model, algoritm, qatlam, klasterli tahlil, K- means, sun’iy intellekt, modellashtirish, algoritmlashAbstract
Anotatsiya: Ushbu maqolada neyron tarmoqlar va klasterli tahlilning asosiy
tushunchalari, ularning algoritmlari va modellashtirish jarayoni yoritiladi. Neyron
tarmoqlarning ishlash tamoyillari, K-means klasterlash algoritmi va ularni dasturiy
jihatdan amalga oshirish usullari tushuntiriladi. Shuningdek, neyron tarmoqlar va
klasterli tahlilning turli sohalarda qo‘llanilishi ham ko‘rib chiqiladi.
References
Foydalanilgan adabiyotlar
1. Thematic Journal of Applied Sciences (ISSN 2277-3037) Volume 6 Issue1
https://doi.org/10.5281/zenodo.6382042, B. 70-73
2. Science and innovation international scientific journal volume 1 ISSUE 6 UIF-
2022: 8.2 | ISSN: 2181-3337, B. 282-286
3. N.Noraliyev., Iqtisodiyotda axborot kommunikatsion texnologiyalar, 2022 y.
4. Ian Goodfellow, Yoshua Bengio, Aaron Courville – Deep Learning, 2016
5. Michael Nielsen – Neural Networks and Deep Learning,
http://neuralnetworksanddeeplearning.com2015y.
6. Francois Chollet – Deep Learning with Python, 2021y.
7. Simon Haykin – Neural Networks and Learning Machines, 2008 y.
8. Charu C. Aggarwal – Neural Networks and Deep Learning: A Textbook, 2018y.
9. N.Noraliyev., S. Rasulov. Axborot kommunikatsion texnologiyalar, Darslik, -T.
“Iqtisod-moliya”, -2020 y.
