<abstract xmlns="http://www.w3.org/1999/xhtml"><p>The article presents results of iced wire’s temperature approximation during process of heating this wire to melt ice. This approximation was implemented in Matlab using a two-layer feedforward artificial neural network (ANN). The results of the approximation are acceptable, but it is possible to improve them.</p></abstract>

The article presents results of iced wire’s temperature approximation during process of heating this wire to melt ice. This approximation was implemented in Matlab using a two-layer feedforward artificial neural network (ANN). The results of the approximation are acceptable, but it is possible to improve them.

Modeling of contact wire’s de-iceing phenomena using artificial neural networks

Faculty of Electrical and Computer Engineering

Technical Transactions

This work is licensed under the Creative Commons Attribution-ShareAlike 4.0 Public License.

The article presents results of iced wire’s temperature approximation during process of heating this wire to melt ice. This approximation was implemented in...

Modeling of contact wire’s de-iceing phenomena using artificial neural networks

Online veröffentlicht: 21. Mai 2020

Seitenbereich: 111 - 117

Eingereicht: 18. Sept. 2018

DOI: https://doi.org/10.4467/2353737XCT.18.149.9097

Schlüsselwörter
melting of ice, iced wire, artificial neural network

© 2019 Marek Dudzik et al., published by Sciendo

This work is licensed under the Creative Commons Attribution-ShareAlike 4.0 Public License.

Modeling of contact wire’s de-iceing phenomena using artificial neural networks

Online veröffentlicht: 21. Mai 2020

Seitenbereich: 111 - 117

Eingereicht: 18. Sept. 2018

DOI: https://doi.org/10.4467/2353737XCT.18.149.9097

Schlüsselwörtermelting of ice, iced wire, artificial neural network

© 2019 Marek Dudzik et al., published by Sciendo

This work is licensed under the Creative Commons Attribution-ShareAlike 4.0 Public License.

Schlüsselwörter
melting of ice, iced wire, artificial neural network