Numerical and experimental generated data during project https://doi.org/10.1038/s41598-024-82701-3 - Open Research Data - Bridge of Knowledge

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Numerical and experimental generated data during project https://doi.org/10.1038/s41598-024-82701-3

Description

The dataset was generated using a procedure for expedited globalized parameter adjustment of microwave passives. The search process was embedded in a surrogate-assisted machine learning framework operating in a dimensionality-restricted domain, spanned by the parameter space directions being of importance in terms of their effects on the circuit characteristic variability.

Extensive comparisons with several state-of-the-art routines, including a bio-inspired algorithm and an ML scheme operating within the original parameter space, indicated competitive efficacy regarding the quality of the rendered designs and CPU efficiency. The CPU savings achieved due to dimensionality reduction were as high as 50%. 

Dataset file

metadata_p1_complete.pdf
1.2 MB, S3 ETag 2ddf94b2be715a3513c15a921fc65898-1, downloads: 0
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File details

License:
Creative Commons: by 4.0 open in new tab
CC BY
Attribution

Details

Year of publication:
2025
Verification date:
2025-03-17
Dataset language:
English
DOI:
DOI ID 10.34808/5vp4-vj58 open in new tab
Funding:
Verified by:
Gdańsk University of Technology

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