A Generic and Efficient Globalized Kernel Mapping-Based Small-Signal Behavioral Modeling for GaN HEMT

A Generic and Efficient Globalized Kernel Mapping-Based Small-Signal Behavioral Modeling for GaN HEMT

The work reported in this article explores a novel Particle Swarm Optimization (PSO) tuned Support Vector Regression (SVR) based technique to develop the small-signal behavioral model for GaN High Electron Mobility Transistor (HEMT). The proposed technique investigates issues such as kernel selectio...

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Bibliographic Details
Main Authors: Ahmad Khusro, Saddam Husain, Mohammad S. Hashmi, Abdul Quaiyum Ansari, Sultangali Arzykulov
Format: Article
Language:English
Published: IEEE 2020-01-01
Series:IEEE Access
Subjects:
GaN HEMT
hyperparameters
Kernel function
modeling
particle swarm optimization
s-parameters
Online Access:https://ieeexplore.ieee.org/document/9240044/

Internet

https://ieeexplore.ieee.org/document/9240044/

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