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Prediction of thickness of pantograph contact strips using Artificial Neural Networks Cover

Prediction of thickness of pantograph contact strips using Artificial Neural Networks

Technical Transactions
Volume 116 (2019): Issue 12 (December 2019)
By: Małgorzata Kuźnar  
Open Access
|May 2020

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DOI: https://doi.org/10.4467/2353737XCT.19.130.11455 | Journal eISSN: 2353-737X | Journal ISSN: 0011-4561
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Language: English
Page range: 173 - 180
Submitted on: Dec 11, 2019
Published on: May 16, 2020
Published by: Cracow University of Technology
In partnership with: Paradigm Publishing Services
Publication frequency: 1 issue per year
Keywords:
rail vehicles,
pantograph,
current collector,
thickness prediction,
sliding cover,
artificial neural networks,
ANN
Related subjects:
Architecture and design,
Architecture,
Architects, buildings,
Engineering,
Mechanical engineering,
Mechanics,
Industrial chemistry,
Chemical engineering,
Materials sciences,
Materials sciences, other

© 2020 Małgorzata Kuźnar, published by Cracow University of Technology
This work is licensed under the Creative Commons Attribution-ShareAlike 4.0 License.

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