Support Vector Regression-Based Active Subspace (SVR-AS) Modeling of High-Speed Links for Fast and Accurate Sensitivity Analysis

Support Vector Regression-Based Active Subspace (SVR-AS) Modeling of High-Speed Links for Fast and Accurate Sensitivity Analysis

A methodology based on the joint usage of support vector regression and active subspace is introduced in this paper for accelerated sensitivity analysis of high-speed links through parameter space dimensionality reduction. The proposed methodology uses the gradient directly obtained by support vecto...

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Bibliographic Details
Main Authors: Hanzhi Ma, Er-Ping Li, Andreas C. Cangellaris, Xu Chen
Format: Article
Language:English
Published: IEEE 2020-01-01
Series:IEEE Access
Subjects:
High-speed link
support vector regression
active subspace
sensitivity analysis
dimensionality reduction
eye diagram
Online Access:https://ieeexplore.ieee.org/document/9068208/

Internet

https://ieeexplore.ieee.org/document/9068208/

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