SUN'IY INTELLEKT VA NEYRON TARMOQLAR YORDAMIDA IQTISODIY PROGNOZLASH
Keywords:
Kalit so‘zlar: sun’iy intellekt, neyron tarmoqlar, iqtisodiy prognozlash, LSTM, Transformer, hybrid modellar, chuqur o‘rganish, O‘zbekiston, YaIM prognozi, vaqtli qatorlar.Abstract
Annotatsiya: Mazkur ilmiy maqolada sun’iy intellekt va neyron tarmoqlar
yordamida iqtisodiy prognozlashning nazariy asoslari va amaliy qo‘llanilishi tizimli
ravishda yoritilgan. An’anaviy ekonometrik usullar (ARIMA, VAR) va zamonaviy
chuqur o‘rganish arxitekturalari (LSTM, GRU, Transformer, hybrid modellar)
taqqoslanadi. Neyron tarmoqlarning o‘ziga xos xususiyatlari — nochiziqlilikni
modellashtirish, uzoq muddatli bog‘liqliklarni o‘rganish va katta hajmli ma’lumotlar
bilan ishlash qobiliyati batafsil tahlil qilingan. O‘zbekiston iqtisodiyoti ma’lumotlari
asosida YaIM, inflyatsiya va valyuta kursini LSTM modeli yordamida prognozlash
natijalari keltirilgan. Maqola ilmiy tadqiqotchilar, iqtisodchilar va davlat siyosati ishlab
chiqaruvchilari uchun mo‘ljallangan.
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