Algorithmic support of products quality control in melting furnaces of Vanukov

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This paper presents an approach to the construction of algorithmic support of complex technological systems on the example of the melting furnaces of Vanukov. The author offers a method for controlling the quality of final products through the combined use of neural network models of the process and modification of the dynamic programming algorithm of Bellman.

Furnace of vanukov, kohonen self-organizing network, neural network model, dynamic programming bellman

Короткий адрес: https://sciup.org/148177058

IDR: 148177058

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