Modelling the Technological Part of a Line by Use of Neural Networks

  • Jaroslava Žilková
  • Peter Girovský
  • Mišél Batmend
Part of the Advances in Intelligent Systems and Computing book series (AISC, volume 239)


The paper deals with the applications of artificial neural networks in modelling and control of a continuous tinning line’s technological part. In the conclusion part of the paper, description of the whole model of the tinning line technological section together with the neural speed estimators is presented, along with an evaluation of the achieved simulation results. Training of individual neural networks was performed off-line and adaptation of the network parameters was done by Levenberg-Marquardt’s modification of the back-propagation algorithm. The DC drives were simulated in program Matlab with Simulink toolbox and neural networks were proposed in the Matlab environment by use of Neural Networks Toolbox.


Mathematical model technological line control DC motor neural network 


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Copyright information

© Springer International Publishing Switzerland 2014

Authors and Affiliations

  • Jaroslava Žilková
    • 1
  • Peter Girovský
    • 1
  • Mišél Batmend
    • 1
  1. 1.Department of Electrical Engineering and MechatronicsTechnical University of KošiceKošiceSlovak Republic

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