Softwarový systém konicity krystalizátorů

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Plášek, Ctibor

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Vysoká škola báňská - Technická univerzita Ostrava

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Abstract

This thesis is focused on the evaluation of the technical state of the mold in the continuous casting of steel. Evaluation conicity parameter is obtained from the model mold mold assessment using artificial neural networks. In this thesis work is carried algorithm of this model, which is then transferred to the off-line software system. Create a software system is tested on the operating model data.

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Import 26/06/2013

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Mold, artificial neural network, Microsoft Visual Studio, C++, conicity, continuous casting of steel

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