Abstract
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.
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Žilková, J., Girovský, P., Batmend, M. (2014). Modelling the Technological Part of a Line by Use of Neural Networks. In: Herrero, Á., et al. International Joint Conference SOCO’13-CISIS’13-ICEUTE’13. Advances in Intelligent Systems and Computing, vol 239. Springer, Cham. https://doi.org/10.1007/978-3-319-01854-6_36
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DOI: https://doi.org/10.1007/978-3-319-01854-6_36
Publisher Name: Springer, Cham
Print ISBN: 978-3-319-01853-9
Online ISBN: 978-3-319-01854-6
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