APPLICATION OF ARTIFICIAL NEURAL NETWORKS IN AUTOMATION SYSTEMS

Authors

  • Bektemіr Almas Tanatuly Student of Almaty Technological University, Specialty "23B55509- Engineering and technology of information "
  • Julayeva Zhazira Tulegenovna Senior lecturer of the Department «Automation and robotics», Almaty Technological University
  • Karatayeva Zhanbubi Yerzhanovna Senior lecturer of the Department «Automation and robotics», Almaty Technological University, Almaty, Kazakhstan

Keywords:

artificial neural networks, automation systems, machine learning, intelligent control, Industry 4.0.

Abstract

Today, the use of artificial neural networks (ANNs) in automation systems is one of the key directions for improving the efficiency of production and management processes. ANNs enable modeling of complex processes, fault detection, and data-driven decision-making. This article discusses the theoretical foundations of neural networks, their role, and applications in automation systems. Examples from industry, energy, and transportation are provided, along with an analysis of advantages and limitations. The study results demonstrate the great potential for the development of AI-based automation systems in the context of Industry 4.0.

Published

2025-12-22

How to Cite

Bektemіr Almas Tanatuly, Julayeva Zhazira Tulegenovna, & Karatayeva Zhanbubi Yerzhanovna. (2025). APPLICATION OF ARTIFICIAL NEURAL NETWORKS IN AUTOMATION SYSTEMS . Theoretical Hypotheses and Empirical Results, (12). Retrieved from https://ojs.publisher.agency/index.php/THIR/article/view/7469

Issue

No. 12 (2025): Theoretical Hypotheses and Empirical Results

Section

Technical science

License

Creative Commons License

This work is licensed under a Creative Commons Attribution-ShareAlike 4.0 International License.