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- W3003641196 abstract "The analysis of the data approximation methods was carried out in the paper. The method of approximation using neural networks was chosen. A neural network was created to predict steel resistivity. For the created neural network, the training method was chosen. After the training, the results were analyzed." @default.
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- W3003641196 date "2019-09-01" @default.
- W3003641196 modified "2023-09-26" @default.
- W3003641196 title "Prognostification of Specific Steel Resistivity for Modeling Electrothermal Processes" @default.
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- W3003641196 doi "https://doi.org/10.1109/cscmp45713.2019.8976724" @default.
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