Author: Murodullayev, Doston Muzaffar oʻgʻli

Annotation: This article analyzes the prospects for the application of artificial neural networks in control systems, their theoretical foundations and practical capabilities. The issues of optimizing complex control processes, increasing the accuracy of data processing, automating decision-making and ensuring the efficiency of control in real time using artificial neural networks are covered. Also, the application of artificial neural networks in the fields of industry, transport, energy, medicine and robotics, their advantages, current problems and future development prospects are considered. The results of the study indicate the important role of artificial intelligence technologies in improving modern control systems and accelerating digital transformation processes.

Keywords: Artificial neural networks, artificial intelligence, control systems, automation, machine learning, deep learning (Deep Learning), optimization, decision-making, digital transformation, industrial automation, robotics, real-time control, forecasting, intelligent control.

Pages in journal: 542 - 547