ОЦЕНКА ЭКОНОМИЧЕСКОЙ ЭФФЕКТИВНОСТИ БИЗНЕС-ПРОЦЕССОВ В ВЫСШИХ УЧЕБНЫХ ЗАВЕДЕНИЯХ С ИСПОЛЬЗОВАНИЕМ НЕЙРОННЫХ СЕТЕЙ

Аннотация

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. Keywords: multilayer perceptron, artificial intelligence in business, neural networks, business process optimization, machine learning, business process automation, business forecasting, data classification, risk analysis, anomaly detection WWW.INFOCOM.UZ “RAQAMLI IQT ISODIYOT” ILMIY-ELEKTRON JURNALI | 6-SON SUN’IY INTELLEKT 405 in data, business digitalization, innovation in management, business process efficiency, data management, artificial intelligence technologies in management.