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Application of neural network for real-time measurement of electrical resistivity in cold crucible

The result's identifiers

  • Result code in IS VaVaI

    <a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F49777513%3A23220%2F17%3A43949854" target="_blank" >RIV/49777513:23220/17:43949854 - isvavai.cz</a>

  • Result on the web

    <a href="https://www.degruyter.com/view/j/jee.2017.68.issue-4/jee-2017-0042/jee-2017-0042.xml?rskey=lqGNcE&result=1" target="_blank" >https://www.degruyter.com/view/j/jee.2017.68.issue-4/jee-2017-0042/jee-2017-0042.xml?rskey=lqGNcE&result=1</a>

  • DOI - Digital Object Identifier

    <a href="http://dx.doi.org/10.1515/jee-2017-0042" target="_blank" >10.1515/jee-2017-0042</a>

Alternative languages

  • Result language

    angličtina

  • Original language name

    Application of neural network for real-time measurement of electrical resistivity in cold crucible

  • Original language description

    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.

  • Czech name

  • Czech description

Classification

  • Type

    J<sub>imp</sub> - Article in a specialist periodical, which is included in the Web of Science database

  • CEP classification

  • OECD FORD branch

    20201 - Electrical and electronic engineering

Result continuities

  • Project

  • Continuities

    S - Specificky vyzkum na vysokych skolach

Others

  • Publication year

    2017

  • Confidentiality

    S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Data specific for result type

  • Name of the periodical

    Journal of Electrical Engineering = Elektrotechnický časopis

  • ISSN

    1335-3632

  • e-ISSN

  • Volume of the periodical

    68

  • Issue of the periodical within the volume

    4

  • Country of publishing house

    SK - SLOVAKIA

  • Number of pages

    7

  • Pages from-to

    299-305

  • UT code for WoS article

    000410953500007

  • EID of the result in the Scopus database