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Increasing the reliability of mobile intelligent machines based on deep neural networks
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Publication Language: Ukrainian
Stuc. intelekt. 2018; 23(4):
Abstract: The article presents the results of theoretical and experimental research in the field of improving the reliability of complex objects, such as mobile intelligent technological machines. This is achieved through the use of model-ima- ges based on neural networks and deep calculations based on them. The difference between the proposed identification models, which consists in the use of information about the boundary parameters of the constituent elements of complex objects for deep neural networks, is shown. A technique for constructing such neural networks is presented.
Keywords: neural networks, production systems, machine tools
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