Cost-effective global surrogate modeling of planar microwave filters using multi-fidelity bayesian support vector regression-Reference-Cited by-同舟云学术

Cost-effective global surrogate modeling of planar microwave filters using multi-fidelity bayesian support vector regression

Published:2013-01-22 Issue:1 Volume:24 Page:11-17
ISSN:1096-4290
Container-title:International Journal of RF and Microwave Computer-Aided Engineering
language:en
Short-container-title:Int J RF and Microwave Comp Aid Eng

Author:

Jacobs J. Pieter¹,Koziel Slawomir²

Affiliation:

1. Department of Electrical, Electronic and Computer Engineering; University of Pretoria; Pretoria South Africa

2. Engineering Optimization and Modeling Center; School of Science and Engineering; Reykjavik University; Menntavegur 1 101 Reykjavik Iceland

Publisher

Wiley

Subject

Electrical and Electronic Engineering,Computer Graphics and Computer-Aided Design,Computer Science Applications

Link

Reference14 articles.

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