Details
| Original language | English |
|---|---|
| Title of host publication | 2019 International Symposium on Electromagnetic Compatibility - EMC Europe 2019 |
| Subtitle of host publication | Proceedings |
| Publisher | Institute of Electrical and Electronics Engineers Inc. |
| Pages | 921-926 |
| Number of pages | 6 |
| ISBN (electronic) | 978-1-7281-0594-9 |
| ISBN (print) | 978-1-7281-0595-6 |
| Publication status | Published - Sept 2019 |
| Event | 2019 International Symposium on Electromagnetic Compatibility: EMC Europe 2019 - Barcelona, Spain Duration: 2 Sept 2019 → 6 Sept 2019 |
Publication series
| Name | Proceedings of the International Symposium on Electromagnetic Compatibility (EMC Europe) |
|---|---|
| ISSN (Print) | 2325-0356 |
| ISSN (electronic) | 2325-0364 |
Abstract
Due to the increasing size and complexity of investigations in the field of electromagnetic compatibility, it is a desirable objective to reduce the calculation effort of such studies. In some of them, a large number of similarly constructed DUTs are investigated. For these cases, similar results are expected under equal conditions. Studies have shown, that artificial neural networks (ANNs) can reduce the effort of such investigations. This paper presents a further reduction method, the Gaussian processes. In addition, ANNs and Gaussian processes are compared and the results predictability regarding to EMC are evaluated.
Keywords
- artificial neural network, EMC investigations, Gaussian process, prediction
ASJC Scopus subject areas
- Energy(all)
- Energy Engineering and Power Technology
- Engineering(all)
- Electrical and Electronic Engineering
- Physics and Astronomy(all)
- Instrumentation
- Physics and Astronomy(all)
- Radiation
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2019 International Symposium on Electromagnetic Compatibility - EMC Europe 2019: Proceedings. Institute of Electrical and Electronics Engineers Inc., 2019. p. 921-926 8871865 (Proceedings of the International Symposium on Electromagnetic Compatibility (EMC Europe)).
Research output: Chapter in book/report/conference proceeding › Conference contribution › Research › peer review
}
TY - GEN
T1 - Comparison of Predictions between Artificial Neural Networks and Gaussian Processes in EMC Investigations
AU - Burghardt, Felix
AU - Garbe, Heyno
N1 - Funding Information: The results shown in this paper were partly produced with the support of the Bundeswehr Research Institute for Protective Technologies – NBC-Protection in Munster, Germany. Contract Number E/E590/GZ004/CF011.
PY - 2019/9
Y1 - 2019/9
N2 - Due to the increasing size and complexity of investigations in the field of electromagnetic compatibility, it is a desirable objective to reduce the calculation effort of such studies. In some of them, a large number of similarly constructed DUTs are investigated. For these cases, similar results are expected under equal conditions. Studies have shown, that artificial neural networks (ANNs) can reduce the effort of such investigations. This paper presents a further reduction method, the Gaussian processes. In addition, ANNs and Gaussian processes are compared and the results predictability regarding to EMC are evaluated.
AB - Due to the increasing size and complexity of investigations in the field of electromagnetic compatibility, it is a desirable objective to reduce the calculation effort of such studies. In some of them, a large number of similarly constructed DUTs are investigated. For these cases, similar results are expected under equal conditions. Studies have shown, that artificial neural networks (ANNs) can reduce the effort of such investigations. This paper presents a further reduction method, the Gaussian processes. In addition, ANNs and Gaussian processes are compared and the results predictability regarding to EMC are evaluated.
KW - artificial neural network
KW - EMC investigations
KW - Gaussian process
KW - prediction
UR - http://www.scopus.com/inward/record.url?scp=85074325319&partnerID=8YFLogxK
U2 - 10.1109/EMCEurope.2019.8871865
DO - 10.1109/EMCEurope.2019.8871865
M3 - Conference contribution
AN - SCOPUS:85074325319
SN - 978-1-7281-0595-6
T3 - Proceedings of the International Symposium on Electromagnetic Compatibility (EMC Europe)
SP - 921
EP - 926
BT - 2019 International Symposium on Electromagnetic Compatibility - EMC Europe 2019
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 2019 International Symposium on Electromagnetic Compatibility
Y2 - 2 September 2019 through 6 September 2019
ER -