ANFIS ARXITEKTURASI VA QAT'IYMAS GIBRID KLASSIFIKATORLAR: SUN'IY INTELLEKT SOHASIDAGI QO'LLANILISHLARI VA IMKONIYATLARI
Keywords:
ANFIS, qat'iymas tizimlar, gibrid klassifikatorlar, sun'iy intellekt, neyron tarmoqlar, fuzzy logic, o'rganish qobiliyati, murakkab ma'lumotlar, diagnostika, optimallashtirish.Abstract
Ushbu maqola sun'iy intellekt sohasida ANFIS (Adaptive Neuro-Fuzzy Inference System) arxitekturasi va qat'iymas gibrid klassifikatorlarini tahlil qiladi. ANFIS arxitekturasi sun'iy neyron tarmoqlari va qat'iymas tizimlarning eng yaxshi xususiyatlarini birlashtiradi va murakkab, noaniq ma'lumotlarni qayta ishlashda yuqori samaradorlik ko'rsatadi. Maqolada ANFISning ta'rifi, asosiy tushunchalari, ishlash tamoyillari, afzalliklari va kamchiliklari batafsil yoritilgan. Shuningdek, qat'iymas gibrid klassifikatorlarning qo'llanilish sohalari, turli sohalarda muvaffaqiyatli qo'llanilish misollari va kelajakdagi imkoniyatlari ham keltirilgan. Maqola sun'iy intellektning amaliyotdagi ahamiyatini va u orqali erishish mumkin bo'lgan yutuqlarni tushunishga yordam beradi, kelajakdagi izlanishlar va tadqiqotlar uchun tavsiyalar beradi.
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