BIOLOGIK VA SUNʼiY NEYRON TARMOQLARNING OʼRGANISH MEXANIZMLARI: QIYOSIY TAHLIL
Keywords:
Neyron tarmoq, gradient descent, oʼqitish algoritmi, qiyosiy tahlil, sinapsAbstract
Ushbu maqolada biologik va sunʼiy neyron tarmoqlarning oʼrganish mexanizmlari qiyosiy tahlil qilinadi. Tadqiqot maqsadi — inson miyasining sinaptik oʼzgarish jarayonlari bilan neyron tarmoqlarning oʼqitish algoritmlari (backpropagation, gradient descent) oʼrtasidagi oʼxshashliklar va farqlarni ilmiy asosda koʼrsatishdir. Tahlil natijasida aniqlandi: ikkala tizim ham xato orqali oʼrganish tamoyiliga asoslanadi, ammo inson miyasi kam maʼluʼmot asosida moslasha oladi, sunʼiy tarmoqlar esa katta hajmdagi maʼluʼmotni talab qiladi. Maqolada shuningdek AI ning tibbiyot, tilshunoslik va transportda qoʼllanilish natijalari koʼrib chiqiladi.
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Ziyadullayev, Asilbek. "SUN’IY INTELEKT TEXNOLOGIYALARNING MATEMATIK MUAMMOLARI VA YECHIMLARI." Xalqaro ilmiy tadqiqot jurnali 1.01 (2026).
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