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Bayesian Optimization of Hyperparameters in Kernel-Based Delay Rational Models
- Source :
- IEEE Electromagnetic Compatibility Magazine; 2021, Vol. 10 Issue: 2 p90-93, 4p
- Publication Year :
- 2021
-
Abstract
- This paper presents an automatic procedure for the optimization of the hyperparameters of a delay rational model approximating the frequency-domain behavior of highspeed interconnects. The proposed model is built via a kernel-based regression, such as the Least-Square Support Vector Machine (LS-SVM), by considering an ad-hoc kernel with two hyperparameters related to the propagation delays introduced by the system. Such hyperparameters, along with the Tikhonov regularizer used by the LS-SVM regression, are carefully tuned via an automatic approach based on a k-fold cross-validation and Bayesian optimization. The feasibility of the effectiveness of the proposed modeling approach are investigated on a high-speed link.
Details
- Language :
- English
- ISSN :
- 21622264 and 21622272
- Volume :
- 10
- Issue :
- 2
- Database :
- Supplemental Index
- Journal :
- IEEE Electromagnetic Compatibility Magazine
- Publication Type :
- Periodical
- Accession number :
- ejs57030194
- Full Text :
- https://doi.org/10.1109/MEMC.2021.9477255