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The article describes use of an Induction furnace with cold crucible as a tool for real-time measurement of a melted material electrical resistivity. The measurement is based on an inverse problem solution of a 2D mathematical model, possibly implementable in a microcontroller or a FPGA in a form of a neural network. The 2D mathematical model results has been provided as a training set for the neural network. At the end, the implementation results are discussed together with uncertainty of measurement, which is done by the neural network implementation itself.
Olena Punshchykova, Jana Švehlíková, Milan Tyšler, Richard Grünes, Ksenia Sedova, Pavel Osmančík, Jana Žďárská, Dalibor Heřman and Peter Kneppo
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