Ush tadqiqot sun'iy intellekt modellari asosida iqtisodiy ko'rinishlarni ishlab chiqish aqlli algoritmlarini ishlab chiqarishga chiqarish. Jumladan, tadqiqot iqtisodiy iqtisodiy ko'rsatkichlar sifatida qaraladigan talab va taklifning o'zaro bog'liqligini intellektual rivojlantirishga qaratilgan. Talab va taklif o'ziga xos nomutanosiblik sifatida qaraladigan mahsulot sotishdagi kechikishlarni boshorat qilish jarayoni har tomonlama tekshiriladi. Shu maqsadda muammo tasniflash tarzda shakllantiriladi va sun' intellektning mashina o'rganish modellari yordam beradi takliflar. iqtisodiy, iqtisodiy ko'rsatkichlarni amalga oshirish uchunistik regressiya, logistika qarorlari va K-Yaqin qo'shnilar (K-NN) usullariga barqaror aqlli algoritmlar ishlab chiqariladi. Taklif qilingan narsalarning yukini ko'rgan tajribaga ega bo'lgan.
| Mualliflar | Sayidqulov, Asliddin, Nazarov, Fayzullo |
|---|---|
| Jurnal | Al-Farg'oniy avlodlari |
| Nashr sanasi | 2025-06-02 |
| Son | 2 |
| Betlar | 49-54 |
| Til | Rus |
Искусственный интеллект, задача классификации, экономические показатели, машинное обучение, логистическая регрессия, дерево решений, k-NN, K-NN, decision tree, logistic regression, machine learning, economic indicators, classification problem, classification problem, Artificial intelligence, economic indicators, machine learning, logistic regression, decision tree, K-NN
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