O‘ZBEKISTONDA INFLYATSIYA KO‘RSATKICHLARINI NEYRON TARMOQ ASOSIDA TAHLIL QILISH VA PROGNOZLASH
Ключевые слова:
Kalit so’zlar: Inflyatsiya, neyron tarmoq, sun’iy intellekt, bashoratlash, iqtisodiy ko‘rsatkichlar, LSTM, O‘zbekiston iqtisodiyoti, chuqur o‘rganish, vaqtli qatorli ma’lumotlar, prognozlash modeli.Аннотация
ANNOTATSIYA
Ushbu maqolada O‘zbekistonda inflyatsiya ko‘rsatkichlarini sun’iy neyron
tarmoqlar yordamida tahlil qilish va bashoratlash masalalari o‘rganiladi. Inflyatsiya
iqtisodiy barqarorlikni ta’minlashda muhim rol o‘ynovchi ko‘rsatkichlardan biri
hisoblanadi. An’anaviy statistik usullar inflyatsiyani bashoratlashda cheklovlarga ega
bo‘lib, so‘nggi yillarda sun’iy intellekt texnologiyalaridan, xususan, chuqur o‘rganish
asosidagi neyron tarmoqlardan foydalanish keng ommalashmoqda. Tadqiqotda
O‘zbekiston Respublikasi Davlat statistika qo‘mitasi va Markaziy bankining ochiq
ma’lumotlari asosida inflyatsiya ko‘rsatkichlari yig‘ilib, ular asosida sun’iy neyron
tarmoq modeli qurildi. Model natijalari an’anaviy regressiya modellari bilan
solishtirildi va neyron tarmoq modelining yuqori aniqlik ko‘rsatgani kuzatildi.
Tadqiqot natijalari inflyatsiya darajasini oldindan aniqlashda innovatsion
yondashuvlarning samaradorligini ko‘rsatadi hamda iqtisodiy siyosat yuritishda
foydali bo‘lishi mumkin.
Библиографические ссылки
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