Controlling Execution Mechanisms in Intelligent Systems Using Neural Networks

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