Sun’iy intellekt texnologiyalariga asoslangan kredit risklarini baholash tizimlarini ishlabchiqishning nazariy va amaliy jihatlari tadqiq etilgan. Tadqiqotda mijozlarning kreditga layoqatini aniqlashdazamonaviy sun’iy intellekt modellaridan foydalanish asosida mijoz skoring modelini shakllantirish hamda qarorqabul qilish jarayonini avtomatik optimallashtirish masalalari ko‘rib chiqilgan. Shuningdek, logistik regressiya,gradient tushish (gradient descent) algoritmi va boshqa mashinaviy o‘qitish modellarining kredit risklarinibaholashdagi imkoniyatlari hamda afzalliklari tahlil qilingan. Olingan natijalar kredit tashkilotlarida risklarniboshqarish samaradorligini oshirish va qaror qabul qilish jarayonlarini takomillashtirishga xizmat qiladi.
| Mualliflar | Olimova , Mukhlisa |
|---|---|
| Jurnal | Innovation science and technologiy |
| Nashr sanasi | 2026-06-01 |
| Jild | 2 |
| Son | 6 |
| Til | Ingliz |
| DOI | 10.5281/zenodo.20726195 |
DOI: 10.5281/zenodo.20726195 · Maqolaning asl sahifasi
skoring modeli, kredit riski, baholash tizimi, logistik regressiya, yo‘qotish funksiyasi, modelni baholash, model aniqligi, mashinaviy o‘qitish, qarorlarni avtomatik optimallashtirish.
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