On Temperature-Dependent Small-Signal Behavioral Modelling of GaN HEMT Using GWO-PSO and WOA

Kashif Khan, Saddam Husain, Galymzhan Nauryzbayev, Mohammad Hashmi

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

The accuracy and convergence of Artificial Neural Network (ANN) based models are contingent on initial weights as they employ backpropagation algorithm. To address these issues, this paper investigates and develops accurate Global Optimization (GO) assisted ANN based small-signal behavioral models for Gallium Nitride (GaN) High Electron Mobility Transistor (HEMT). Two potent explorer-exploiter frameworks-based optimization algorithms namely Grey Wolf Optimization-Particle Swarm Optimization (GWO-PSO) and Whale Optimization Algorithm (WOA) are utilized to fine-tune the initial weights of ANN. Thereafter, ANN, GWO-PSO- and WOA-assisted ANN based behavioral models are thoroughly examined and evaluated for various regression metrics. A strong correlation between the predicted and measured scattering parameters across the entire frequency spectrum is observed. We found both GO assisted ANN based models produced accurate models. However, GWO-PSO-ANN based models have shown better convergence behavior and at the same time the most accurate among all the tested models in this paper.

Original languageEnglish
Title of host publication2023 International Symposium on Networks, Computers and Communications, ISNCC 2023
PublisherInstitute of Electrical and Electronics Engineers Inc.
ISBN (Electronic)9798350335590
DOIs
Publication statusPublished - 2023
Event2023 International Symposium on Networks, Computers and Communications, ISNCC 2023 - Doha, Qatar
Duration: Oct 23 2023Oct 26 2023

Publication series

Name2023 International Symposium on Networks, Computers and Communications, ISNCC 2023

Conference

Conference2023 International Symposium on Networks, Computers and Communications, ISNCC 2023
Country/TerritoryQatar
CityDoha
Period10/23/2310/26/23

Keywords

  • ANN
  • GaN HEMTs
  • GWO-PSO
  • WOA

ASJC Scopus subject areas

  • Artificial Intelligence
  • Computer Networks and Communications
  • Computer Science Applications
  • Computer Vision and Pattern Recognition
  • Information Systems and Management
  • Safety, Risk, Reliability and Quality

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