Интеллектуальные алгоритмы оценки экономических показателей на основе моделей машинного обучения
Ключевые слова:
Искусственный интеллект, задача классификации, экономические показатели, машинное обучение, логистическая регрессия, дерево решений, k-NNАннотация
Ush tadqiqot sun'iy intellekt modellari asosida iqtisodiy ko'rinishlarni ishlab chiqishning aqlli algoritmlarini ishlab chiqarishga bag'ishlangan. iqtisodiy, iqtisodiy' iqtisodiy ko'rsatkichlar bo'yicha savdo talab va taklifni oqilona foydalanishga bag'ishlangan. Talab va taklif o'ziga xos nomutanosiblik sifatida qaraladigan mahsulot sotishdagi kechikishlarni prognoz qilish jarayoni diqqat bilan o'rganildi. Buning uchun muammo tasniflash muammosi sifatida shakllantiriladi va sun'iy intellektning mashinani o'rganish modellarini tuzatishlar taklif qiladi. iqtisodiy, iqtisodiy ko'rsatkichlarni amalga oshirish uchun, iqtisodiy regressiya, logistika qarorlari logistika va K-e yaqin qo'shnilar (K-NN) usuliga kuchli aqlli algoritmlar ishlab chiqarish. Taklif qilingan mahsulotlarning yukini ko'rgan tajribali taqdim etilgan.
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