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Controlling Execution Mechanisms in Intelligent Systems Using Neural Networks

Year: 2025

Type: article

Abstract: In the current era of rapidly advancing technology (2025–2030), the effective management andautomation of the manufacturing sector, along with the development of intelligent systems to ensure thatproducts meet quality and quantity standards, have become urgent priorities. In this context, the applicationof neural networks for the rapid and convenient control of execution mechanisms used in the automatic regulationof technological parameters within intelligent systems is gaining increasing importance

Source: Zenodo (CERN European Organization for Nuclear Research)

DOI: 10.5281/zenodo.15702893

Authors: Azizbek Yusupbekov Nodirbekovich, Husniddin Esonov Mamarasul o'g'li

Language: English

Topic: Industrial Technology and Control Systems

Subfield: Control and Systems Engineering

Field: Engineering

Domain: Physical Sciences

SDG: Industry, innovation and infrastructure

Open Access status: green

OpenAlex ID: W6949185471

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