This article explores the role and application of the multilayer perceptron, one of the key forms of neural networks, in the context of analyzing and optimizing business processes. The primary focus is on the integration of artificial intelligence and machine learning principles into business management, especially in the conditions of increasing digitalization and automation. The aim of the paper is to provide readers with a deep understanding of the potential of the multilayer perceptron in business process analysis and to offer perspectives on its further development and application in business management. The author emphasizes the importance of an interdisciplinary approach that combines knowledge in the fields of artificial intelligence, machine learning, and business management to achieve maximum efficiency and innovation in the modern economy.
| Mualliflar | Sultanov , Ruslan, Султанов, Руслан, Sultanov , Ruslan |
|---|---|
| Jurnal | Рақамли иқтисодиёт |
| Nashr sanasi | 2025-06-30 |
| Jild | 6 |
| Son | 6 |
| Betlar | 403-414 |
| Til | Rus |
многослойный перцептрон, искусственный интеллект в бизнесе, нейронные сети, оптимизация бизнес-процессов, машинное обучение, автоматизация бизнес-процессов, прогнозирование в бизнесе, классификация данных, анализ рисков, обнаружение аномалий в данных, цифровизация бизнеса, инновации в управлении, эффективность бизнес-процессов, управление данными, технологии искусственного интеллекта в управлении., ko‘p qatlamli perseptron, biznesdagi sun’iy intellekt, neyron tarmoqlar, biznes jarayonlarini optimallashtirish, mashinalarni o‘rganish, biznes jarayonlarini avtomatlashtirish, biznesni prognozlash, ma’lumotlarni tasniflash, xavflarni tahlil qilish, ma’lumotlar anomaliyalarini aniqlash, biznesni raqamlashtirish, boshqaruv innovatsiyasi, biznes jarayoni samaradorligi, ma’lumotlarni boshqarish, sun’iy intellekt boshqaruvdagi texnologiyalar., multilayer perceptron, artificial intelligence in business, neural networks, business process optimization, machine learning, business process automation, business forecasting, data classification, risk analysis, anomaly detection in data, business digitalization, innovation in management, business process efficiency, data management, artificial intelligence technologies in management.
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