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Optimal dynamic error formula for charge output accelerometer obtained by the neural network
Authors:
- Marek Dudzik,
- Krzysztof Tomczyk,
- Marek Sieja
Abstract
The paper determines the optimal equation of dynamic error generated by the charge output accelerometer for the case of absolute criterion. The optimal formula is provided by fit function neural network algorithm. The paper presents the optimization algorithm and the process of learning of the network. There are also shown the errors generated by the network. The neural network optimization procedure results shows that obtained fit function regression compatibility is more over 99.8%.
- Record ID
- CUT1716102daeed4ed486118a1ed04b9cbb
- Publication categories
- ; ;
- Author
- Pages
- [1-4]
- Other elements of collation
- schem.; tab.; wykr.; Bibliografia (na s.) - [3-4]; Bibliografia (liczba pozycji) - 8; Oznaczenie streszczenia - Abstr.
- Book
- 2018 International Symposium on Electrical Machines (SME) : SME 2018, Andrychów, Poland, 10-13 June 2018, 2018, [S.l.], Institute of Electrical and Electronics Engineers, IEEE, [4] p., ISBN 978-153865210-7
- Keywords in English
- absolute dynamic error, charge output accelerometer, neural network
- DOI
- DOI:10.1109/ISEM.2018.8442477 Opening in a new tab
- URL
- https://ieeexplore.ieee.org/document/8442477 Opening in a new tab
- Related project
- Language
- eng (en) English
- Score (nominal)
- 20
- Additional fields
- Indeksowana w: Scopus
- Uniform Resource Identifier
- https://cris.pk.edu.pl/info/article/CUT1716102daeed4ed486118a1ed04b9cbb/
- URN
urn:pkr-prod:CUT1716102daeed4ed486118a1ed04b9cbb
* presented citation count is obtained through Internet information analysis, and it is close to the number calculated by the Publish or PerishOpening in a new tab system.