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DOI: 10.18413/2518-1092-2016-1-3-52-56

UTILIZATION OF NEURAL NETWORKS FOR IMPROVEMENT OF EFFICIENCY IN THE MANAGEMENT OF COMPUTERIZED AND NUMERICALLY CONTROLLED MACHINE TOOLS

Due to increasing competition in the market, there is an acute problem of increasing efficiency of processing on the machines with computerized numerical control (CNC). Besides, enterprises nowadays have to ensure compliance of products with the requirements of ISO international standards. At present, Russia is going through an active introduction of new automated tools of information support of products at all stages of the life cycle. The article discusses the model of management of machine tools with numerical control. The authors draw a conclusion about the efficiency of utilizing neural networks to operate with this type of machines. They also provide an example of a neural network with two hidden layerswith3 and 5neurons respectively.

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