Accurate Modeling of Frequency Selective Surfaces Using Fully-Connected Regression Model With Automated Architecture Determination and Parameter Selection Based on Bayesian Optimization

Accurate Modeling of Frequency Selective Surfaces Using Fully-Connected Regression Model With Automated Architecture Determination and Parameter Selection Based on Bayesian Optimization

Surrogate modeling has become an important tool in the design of high-frequency structures. Although full-wave electromagnetic (EM) simulation tools provide an accurate account for the circuit characteristics and performance, they entail considerable computational expenditures. Replacing EM analysis...

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Bibliographic Details
Main Authors: Nurullah Calik, Mehmet Ali Belen, Peyman Mahouti, Slawomir Koziel
Format: Article
Language:English
Published: IEEE 2021-01-01
Series:IEEE Access
Subjects:
Surrogate modeling
microwave modeling
deep regression model
Bayesian optimization
metamaterials
frequency selective surfaces
Online Access:https://ieeexplore.ieee.org/document/9367136/

Internet

https://ieeexplore.ieee.org/document/9367136/

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