Parameterized Surrogate Models of Electromagnetic Systems Through Decision Tree and Random Forest Models
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216305%3A26220%2F26%3A0200111" target="_blank" >RIV/00216305:26220/26:0200111 - isvavai.cz</a>
Result on the web
<a href="http://dx.doi.org/10.1109/EMCSIPI52291.2025.11169813" target="_blank" >http://dx.doi.org/10.1109/EMCSIPI52291.2025.11169813</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.1109/EMCSIPI52291.2025.11169813" target="_blank" >10.1109/EMCSIPI52291.2025.11169813</a>
Alternative languages
Result language
angličtina
Original language name
Parameterized Surrogate Models of Electromagnetic Systems Through Decision Tree and Random Forest Models
Original language description
Simulations are an integral part of the electromagnetic systems' design and optimization process. Mathematical models associated with them are usually very large, time and memory-consuming. It is useful to have faster surrogate models with an accuracy comparable to full-order models, especially in an optimization process. For this purpose, we propose to use Decision Trees and Random Forests as parametrized surrogate models of electromagnetic systems. We focus on approximating the parameter-dependent transfer functions using Decision Trees and Random Forests. We used limited data of the module of transfer functions obtained from PEEC simulations to train models appropriately sampled in the parameter space with Latin Hypercube sampling. Trained models predict Transfer Function Modules at any parameter sample in the design space domain with good accuracy.
Czech name
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Czech description
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Classification
Type
D - Article in proceedings
CEP classification
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OECD FORD branch
10300 - Physical sciences
Result continuities
Project
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Continuities
R - Projekt Ramcoveho programu EK
Others
Publication year
2025
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Article name in the collection
IEEE International Symposium on Electromagnetic Compatibility
ISBN
9798331508746
ISSN
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e-ISSN
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Number of pages
4
Pages from-to
35-39
Publisher name
Institute of Electrical and Electronics Engineers Inc.
Place of publication
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Event location
Raleigh, North Carolina, USA
Event date
Aug 18, 2025
Type of event by nationality
WRD - Celosvětová akce
UT code for WoS article
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