The efficiency of using artificial feedforward neural networks with a single hidden layer of eight neurons for the analysis of overload conditions of selected tramway traction substations Cover

.blurhash-client-img { display: none !important; }

The efficiency of using artificial feedforward neural networks with a single hidden layer of eight neurons for the analysis of overload conditions of selected tramway traction substations

Technical Transactions

Volume 115 (2018): Issue 11 (November 2018)

By: Marek Dudzik, Janusz Prusak, Sławomir Drapik and Valeriy Kuznetsov

Open Access

|May 2020

Authors

Marek Dudzik

marekdudzik@pk.edu.pl

Faculty of Electrical and Computer Engineering, Cracow University of Technology

Janusz Prusak

Faculty of Electrical and Computer Engineering, Cracow University of Technology

Sławomir Drapik

Valeriy Kuznetsov

Dniepropetrovsk National University of Railway Transport (DIIT), Ukraine

DOI: https://doi.org/10.4467/2353737XCT.18.167.9423 | Journal eISSN: 2353-737X | Journal ISSN: 0011-4561

Journal RSS Feed

Language: English

Page range: 119 - 131

Submitted on: Oct 11, 2018

Published on: May 23, 2020

Published by: Cracow University of Technology

In partnership with: Paradigm Publishing Services

Publication frequency: 1 issue per year

Keywords:

loads and overloads of tram traction substation,

artificial neural network

Related subjects:

Architecture and design,

Architects, buildings,

Mechanical engineering,

Industrial chemistry,

Chemical engineering,

Materials sciences,

Materials sciences, other

© 2020 Marek Dudzik, Janusz Prusak, Sławomir Drapik, Valeriy Kuznetsov, published by Cracow University of Technology
This work is licensed under the Creative Commons Attribution-ShareAlike 4.0 License.

Previous article Volume 115 (2018): Issue 11 (November 2018)Next article