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The paper investigates the use of artificial neural networks in modeling and control of manufacturing systems. This approach models the various elements of a manufacturing system by the form of neural networks. The modeling approximates discrete systems by continuous models. The suggested model is applied to the approximation of a manufacturing system, the approximated model is then simulated and trained to control the machines to achieve some desired targets. The system presented in this paper is the subset exit beam of the back silencer. The system is simulated at the end with and without training of the neural network.